{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/brooney/Documents/Pubs/Terror Paper/ISQ/R and R/Final/Log File.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}17 Jul 2020, 14:56:02

{com}. do "/Users/brooney/Documents/Pubs/Terror Paper/ISQ/Emergency Powers and the Heterogeneity of Terror.do"
{txt}
{com}. //Bryan Rooney
. //ISQ
. //Emergency Powers and the Heterogeneity of Terror
. 
. 
. cd "/Users/brooney/Documents/Pubs/Terror Paper"
{res}/Users/brooney/Documents/Pubs/Terror Paper
{txt}
{com}. 
. use terror_data.dta, clear
{txt}
{com}. 
. 
. label var declaredsoe "Declared State of Emergency"
{txt}
{com}. label var soe_emp "Declared State of Emergency * Emergency Powers"
{txt}
{com}. label var empowerscore3 "Emergency Power Strength"
{txt}
{com}. label var lnpop "Population (Logged)"
{txt}
{com}. label var lagterr "Terror Attacks in Previous Year"
{txt}
{com}. label var gdpcap "GDP Per Capita"
{txt}
{com}. label var gy1 "Economic Growth"
{txt}
{com}. label var polconiii "Political  Constraints"
{txt}
{com}. label var lagmid "MID in Previous Year"
{txt}
{com}. label var polity2 "Polity Score"
{txt}
{com}. label var civ_lib "Civil Liberties"
{txt}
{com}. label var d_3 "Political Ideology Terror Attacks (Next 3 Years)"
{txt}
{com}. label var f_3 "Separatist Terror Attacks (Next 3 Years)"
{txt}
{com}. label var terr_3 "Terror Attacks (Next 3 Years)"
{txt}
{com}. label var is_3 "Islamic Terror Attacks (Next 3 Years)"
{txt}
{com}. label var rel_ni "Other Religious Terror Attacks (Next 3 Years)"
{txt}
{com}. 
.         global X lnpop gdpcap gy1 civ_lib polconiii polity2 lagmid lagterr 
{txt}
{com}. 
. 
. cd "/Users/brooney/Documents/Pubs/Terror Paper/ISQ/R and R/Final/Tables"
{res}/Users/brooney/Documents/Pubs/Terror Paper/ISQ/R and R/Final/Tables
{txt}
{com}. 
. //Main
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-380621.42}  
Iteration 1:{space 3}log pseudolikelihood = {res:-283062.04}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-107991.78}  
Iteration 3:{space 3}log pseudolikelihood = {res:-60193.704}  
Iteration 4:{space 3}log pseudolikelihood = {res:-32132.221}  
Iteration 5:{space 3}log pseudolikelihood = {res: -29224.07}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29181.899}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29181.866}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29181.866}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3471.1818}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3248.3329}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3103.9689}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3062.8456}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3060.9274}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3060.9248}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3060.9248}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}  15157.97
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3060.9248{txt}{col 49}Pseudo R2{col 67}= {res}    0.1308

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .6597657{col 27}{space 2} .2651058{col 38}{space 1}    2.49{col 47}{space 3}0.013{col 55}{space 4}  .140168{col 68}{space 3} 1.179363
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.6294226{col 27}{space 2} .2334475{col 38}{space 1}   -2.70{col 47}{space 3}0.007{col 55}{space 4}-1.086971{col 68}{space 3}-.1718738
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .2469406{col 27}{space 2} .0905826{col 38}{space 1}    2.73{col 47}{space 3}0.006{col 55}{space 4} .0694019{col 68}{space 3} .4244793
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} 1.015479{col 27}{space 2} .0659683{col 38}{space 1}   15.39{col 47}{space 3}0.000{col 55}{space 4} .8861839{col 68}{space 3} 1.144775
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0914622{col 27}{space 2} .0191808{col 38}{space 1}   -4.77{col 47}{space 3}0.000{col 55}{space 4} -.129056{col 68}{space 3}-.0538684
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0248035{col 27}{space 2} .0420725{col 38}{space 1}    0.59{col 47}{space 3}0.555{col 55}{space 4} -.057657{col 68}{space 3}  .107264
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .5164057{col 27}{space 2} .1354915{col 38}{space 1}    3.81{col 47}{space 3}0.000{col 55}{space 4} .2508472{col 68}{space 3} .7819643
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .2163275{col 27}{space 2} .5653626{col 38}{space 1}    0.38{col 47}{space 3}0.702{col 55}{space 4}-.8917628{col 68}{space 3} 1.324418
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0977397{col 27}{space 2}  .087982{col 38}{space 1}   -1.11{col 47}{space 3}0.267{col 55}{space 4}-.2701813{col 68}{space 3} .0747019
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0379125{col 27}{space 2} .1463882{col 38}{space 1}   -0.26{col 47}{space 3}0.796{col 55}{space 4}-.3248282{col 68}{space 3} .2490031
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0098548{col 27}{space 2} .0014102{col 38}{space 1}    6.99{col 47}{space 3}0.000{col 55}{space 4} .0070908{col 68}{space 3} .0126187
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-25.55003{col 27}{space 2} .4017834{col 38}{space 1}  -63.59{col 47}{space 3}0.000{col 55}{space 4}-26.33751{col 68}{space 3}-24.76255
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .7575335{col 27}{space 2} .3480844{col 38}{space 1}    2.18{col 47}{space 3}0.030{col 55}{space 4} .0753006{col 68}{space 3} 1.439766
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.188515{col 27}{space 2} .2660452{col 38}{space 1}   -4.47{col 47}{space 3}0.000{col 55}{space 4}-1.709954{col 68}{space 3}-.6670762
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1062718{col 27}{space 2} .1780442{col 38}{space 1}    0.60{col 47}{space 3}0.551{col 55}{space 4}-.2426885{col 68}{space 3} .4552321
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.4599355{col 27}{space 2}  .196109{col 38}{space 1}   -2.35{col 47}{space 3}0.019{col 55}{space 4}-.8443022{col 68}{space 3}-.0755689
{txt}{space 9}200  {c |}{col 15}{res}{space 2} -1.09885{col 27}{space 2} .2516135{col 38}{space 1}   -4.37{col 47}{space 3}0.000{col 55}{space 4}-1.592003{col 68}{space 3}-.6056964
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-13.25302{col 27}{space 2} 1.574816{col 38}{space 1}   -8.42{col 47}{space 3}0.000{col 55}{space 4} -16.3396{col 68}{space 3}-10.16644
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.023076{col 27}{space 2} .0565777{col 55}{space 4} .9121853{col 68}{space 3} 1.133966
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.781737{col 27}{space 2} .1573842{col 55}{space 4} 2.489757{col 68}{space 3} 3.107957
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102552.85}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56005.741}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-38778.367}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11829.323}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9901.5332}  
Iteration 5:{space 3}log pseudolikelihood = {res:-9859.3081}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9859.1347}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9859.1129}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9859.1089}  
Iteration 9:{space 3}log pseudolikelihood = {res: -9859.108}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 11:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 12:{space 2}log pseudolikelihood = {res:-9859.1077}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2363.3811}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2202.0318}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2087.7952}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2036.5917}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2023.4496}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2023.4413}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2023.4413}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1491.73
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2023.4413{txt}{col 49}Pseudo R2{col 67}= {res}    0.1526

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.4754445{col 27}{space 2} .4573902{col 38}{space 1}   -1.04{col 47}{space 3}0.299{col 55}{space 4}-1.371913{col 68}{space 3} .4210239
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.192136{col 27}{space 2} .2880495{col 38}{space 1}    4.14{col 47}{space 3}0.000{col 55}{space 4}  .627569{col 68}{space 3} 1.756702
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3502374{col 27}{space 2} .1102126{col 38}{space 1}    3.18{col 47}{space 3}0.001{col 55}{space 4} .1342246{col 68}{space 3} .5662502
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}  .856207{col 27}{space 2} .0758168{col 38}{space 1}   11.29{col 47}{space 3}0.000{col 55}{space 4} .7076087{col 68}{space 3} 1.004805
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0225795{col 27}{space 2} .0226577{col 38}{space 1}   -1.00{col 47}{space 3}0.319{col 55}{space 4}-.0669878{col 68}{space 3} .0218287
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .5067003{col 27}{space 2} .0777617{col 38}{space 1}    6.52{col 47}{space 3}0.000{col 55}{space 4} .3542902{col 68}{space 3} .6591104
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0604718{col 27}{space 2} .2112028{col 38}{space 1}    0.29{col 47}{space 3}0.775{col 55}{space 4}-.3534781{col 68}{space 3} .4744218
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.836327{col 27}{space 2} .7633388{col 38}{space 1}   -2.41{col 47}{space 3}0.016{col 55}{space 4}-3.332444{col 68}{space 3} -.340211
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0941021{col 27}{space 2} .1590532{col 38}{space 1}    0.59{col 47}{space 3}0.554{col 55}{space 4}-.2176365{col 68}{space 3} .4058407
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0242868{col 27}{space 2} .1544246{col 38}{space 1}    0.16{col 47}{space 3}0.875{col 55}{space 4}-.2783798{col 68}{space 3} .3269534
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0067268{col 27}{space 2} .0010694{col 38}{space 1}    6.29{col 47}{space 3}0.000{col 55}{space 4} .0046309{col 68}{space 3} .0088227
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-20.19067{col 27}{space 2} .9378548{col 38}{space 1}  -21.53{col 47}{space 3}0.000{col 55}{space 4}-22.02883{col 68}{space 3}-18.35251
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 2.778671{col 27}{space 2} .3389857{col 38}{space 1}    8.20{col 47}{space 3}0.000{col 55}{space 4} 2.114271{col 68}{space 3} 3.443071
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.905865{col 27}{space 2} .4388558{col 38}{space 1}   -4.34{col 47}{space 3}0.000{col 55}{space 4}-2.766007{col 68}{space 3}-1.045723
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0227282{col 27}{space 2} .1643047{col 38}{space 1}    0.14{col 47}{space 3}0.890{col 55}{space 4} -.299303{col 68}{space 3} .3447595
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.2076093{col 27}{space 2}  .312303{col 38}{space 1}   -0.66{col 47}{space 3}0.506{col 55}{space 4}-.8197119{col 68}{space 3} .4044933
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.205593{col 27}{space 2} .3414065{col 38}{space 1}   -3.53{col 47}{space 3}0.000{col 55}{space 4}-1.874738{col 68}{space 3}-.5364485
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-14.37041{col 27}{space 2} 2.509363{col 38}{space 1}   -5.73{col 47}{space 3}0.000{col 55}{space 4}-19.28867{col 68}{space 3}-9.452149
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.299724{col 27}{space 2} .0883786{col 55}{space 4} 1.126505{col 68}{space 3} 1.472942
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 3.668283{col 27}{space 2} .3241976{col 55}{space 4} 3.084855{col 68}{space 3} 4.362051
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(17, 1110)       =  {res}    63.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6154
                                                {txt}Root MSE          =    {res} 1.2616

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .2588281{col 27}{space 2} .1553936{col 38}{space 1}    1.67{col 47}{space 3}0.096{col 55}{space 4}-.0460703{col 68}{space 3} .5637264
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.1728445{col 27}{space 2} .1452796{col 38}{space 1}   -1.19{col 47}{space 3}0.234{col 55}{space 4}-.4578981{col 68}{space 3} .1122092
{txt}empowerscore3 {c |}{col 15}{res}{space 2}  .136707{col 27}{space 2}  .040105{col 38}{space 1}    3.41{col 47}{space 3}0.001{col 55}{space 4} .0580168{col 68}{space 3} .2153973
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .3106293{col 27}{space 2} .0366365{col 38}{space 1}    8.48{col 47}{space 3}0.000{col 55}{space 4} .2387447{col 68}{space 3} .3825139
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0315189{col 27}{space 2} .0100799{col 38}{space 1}   -3.13{col 47}{space 3}0.002{col 55}{space 4}-.0512967{col 68}{space 3}-.0117411
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0247783{col 27}{space 2} .0227969{col 38}{space 1}    1.09{col 47}{space 3}0.277{col 55}{space 4}-.0199515{col 68}{space 3} .0695082
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3949993{col 27}{space 2} .0859327{col 38}{space 1}    4.60{col 47}{space 3}0.000{col 55}{space 4} .2263904{col 68}{space 3} .5636083
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.2408093{col 27}{space 2} .3056762{col 38}{space 1}   -0.79{col 47}{space 3}0.431{col 55}{space 4}-.8405777{col 68}{space 3}  .358959
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0421225{col 27}{space 2}  .061227{col 38}{space 1}   -0.69{col 47}{space 3}0.492{col 55}{space 4}-.1622563{col 68}{space 3} .0780113
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0721642{col 27}{space 2} .0972083{col 38}{space 1}    0.74{col 47}{space 3}0.458{col 55}{space 4}-.1185685{col 68}{space 3} .2628969
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0118648{col 27}{space 2} .0010288{col 38}{space 1}   11.53{col 47}{space 3}0.000{col 55}{space 4} .0098461{col 68}{space 3} .0138835
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.6862307{col 27}{space 2} .1959934{col 38}{space 1}   -3.50{col 47}{space 3}0.000{col 55}{space 4} -1.07079{col 68}{space 3}-.3016714
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 1.540101{col 27}{space 2} .2457589{col 38}{space 1}    6.27{col 47}{space 3}0.000{col 55}{space 4} 1.057897{col 68}{space 3} 2.022306
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.2188812{col 27}{space 2} .1697816{col 38}{space 1}   -1.29{col 47}{space 3}0.198{col 55}{space 4}-.5520104{col 68}{space 3} .1142479
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1451653{col 27}{space 2} .1296801{col 38}{space 1}    1.12{col 47}{space 3}0.263{col 55}{space 4}-.1092804{col 68}{space 3}  .399611
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.6844554{col 27}{space 2} .1359563{col 38}{space 1}   -5.03{col 47}{space 3}0.000{col 55}{space 4}-.9512158{col 68}{space 3} -.417695
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.8051569{col 27}{space 2} .1545606{col 38}{space 1}   -5.21{col 47}{space 3}0.000{col 55}{space 4}-1.108421{col 68}{space 3}-.5018929
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.778717{col 27}{space 2} .9770175{col 38}{space 1}   -3.87{col 47}{space 3}0.000{col 55}{space 4}-5.695726{col 68}{space 3}-1.861708
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(17, 1110)       =  {res}    76.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6464
                                                {txt}Root MSE          =    {res} .99557

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.1918549{col 27}{space 2} .0996668{col 38}{space 1}   -1.92{col 47}{space 3}0.054{col 55}{space 4}-.3874115{col 68}{space 3} .0037017
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .7682146{col 27}{space 2} .1222234{col 38}{space 1}    6.29{col 47}{space 3}0.000{col 55}{space 4} .5283996{col 68}{space 3}  1.00803
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1998463{col 27}{space 2} .0367562{col 38}{space 1}    5.44{col 47}{space 3}0.000{col 55}{space 4} .1277268{col 68}{space 3} .2719658
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}   .20343{col 27}{space 2} .0273003{col 38}{space 1}    7.45{col 47}{space 3}0.000{col 55}{space 4} .1498641{col 68}{space 3}  .256996
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0540665{col 27}{space 2} .0083176{col 38}{space 1}   -6.50{col 47}{space 3}0.000{col 55}{space 4}-.0703865{col 68}{space 3}-.0377465
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0185862{col 27}{space 2} .0159209{col 38}{space 1}    1.17{col 47}{space 3}0.243{col 55}{space 4}-.0126523{col 68}{space 3} .0498247
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.0912979{col 27}{space 2} .0576623{col 38}{space 1}   -1.58{col 47}{space 3}0.114{col 55}{space 4}-.2044373{col 68}{space 3} .0218415
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.7953046{col 27}{space 2} .2075524{col 38}{space 1}   -3.83{col 47}{space 3}0.000{col 55}{space 4}-1.202544{col 68}{space 3}-.3880653
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1014181{col 27}{space 2} .0410414{col 38}{space 1}    2.47{col 47}{space 3}0.014{col 55}{space 4} .0208906{col 68}{space 3} .1819456
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0433988{col 27}{space 2} .0770593{col 38}{space 1}   -0.56{col 47}{space 3}0.573{col 55}{space 4}-.1945973{col 68}{space 3} .1077996
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0052603{col 27}{space 2}  .000793{col 38}{space 1}    6.63{col 47}{space 3}0.000{col 55}{space 4} .0037044{col 68}{space 3} .0068163
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.8070606{col 27}{space 2} .1532897{col 38}{space 1}   -5.26{col 47}{space 3}0.000{col 55}{space 4}-1.107831{col 68}{space 3}-.5062903
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.087826{col 27}{space 2} .2020511{col 38}{space 1}   15.28{col 47}{space 3}0.000{col 55}{space 4} 2.691381{col 68}{space 3} 3.484271
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.150995{col 27}{space 2} .1348806{col 38}{space 1}   -8.53{col 47}{space 3}0.000{col 55}{space 4}-1.415644{col 68}{space 3}-.8863449
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1902325{col 27}{space 2} .1099818{col 38}{space 1}    1.73{col 47}{space 3}0.084{col 55}{space 4}-.0255631{col 68}{space 3} .4060281
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0905273{col 27}{space 2} .0957206{col 38}{space 1}   -0.95{col 47}{space 3}0.344{col 55}{space 4}-.2783411{col 68}{space 3} .0972865
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0557269{col 27}{space 2} .1010527{col 38}{space 1}   -0.55{col 47}{space 3}0.581{col 55}{space 4}-.2540028{col 68}{space 3}  .142549
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.273315{col 27}{space 2} .6796616{col 38}{space 1}   -3.34{col 47}{space 3}0.001{col 55}{space 4}-3.606881{col 68}{space 3}-.9397482
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_main.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_main.tex"'})

{com}. eststo clear
{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3  $X i.region i.year, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-402483.44}  
Iteration 1:{space 3}log pseudolikelihood = {res:-340567.37}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-240975.32}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-97812.717}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-66238.575}  
Iteration 5:{space 3}log pseudolikelihood = {res:-35080.778}  
Iteration 6:{space 3}log pseudolikelihood = {res:-27373.553}  
Iteration 7:{space 3}log pseudolikelihood = {res:-27287.531}  
Iteration 8:{space 3}log pseudolikelihood = {res:-27287.041}  
Iteration 9:{space 3}log pseudolikelihood = {res: -27286.98}  
Iteration 10:{space 2}log pseudolikelihood = {res:-27286.969}  
Iteration 11:{space 2}log pseudolikelihood = {res:-27286.967}  
Iteration 12:{space 2}log pseudolikelihood = {res:-27286.966}  
Iteration 13:{space 2}log pseudolikelihood = {res:-27286.966}  
Iteration 14:{space 2}log pseudolikelihood = {res:-27286.966}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3451.2113}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3226.0498}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3063.6026}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3020.8089}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3018.4393}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3018.4347}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3018.4347}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}47{txt}){col 67}= {res}  10214.02
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3018.4347{txt}{col 49}Pseudo R2{col 67}= {res}    0.1428

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .7251961{col 27}{space 2} .1975418{col 38}{space 1}    3.67{col 47}{space 3}0.000{col 55}{space 4} .3380212{col 68}{space 3} 1.112371
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}  -.72156{col 27}{space 2} .1780429{col 38}{space 1}   -4.05{col 47}{space 3}0.000{col 55}{space 4}-1.070518{col 68}{space 3}-.3726023
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3046584{col 27}{space 2} .0828909{col 38}{space 1}    3.68{col 47}{space 3}0.000{col 55}{space 4} .1421953{col 68}{space 3} .4671215
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .9771884{col 27}{space 2} .0571419{col 38}{space 1}   17.10{col 47}{space 3}0.000{col 55}{space 4} .8651924{col 68}{space 3} 1.089184
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0632482{col 27}{space 2} .0178308{col 38}{space 1}   -3.55{col 47}{space 3}0.000{col 55}{space 4} -.098196{col 68}{space 3}-.0283004
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0444997{col 27}{space 2} .0352418{col 38}{space 1}    1.26{col 47}{space 3}0.207{col 55}{space 4} -.024573{col 68}{space 3} .1135725
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .7595945{col 27}{space 2} .1287522{col 38}{space 1}    5.90{col 47}{space 3}0.000{col 55}{space 4} .5072449{col 68}{space 3} 1.011944
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .6264077{col 27}{space 2} .5085415{col 38}{space 1}    1.23{col 47}{space 3}0.218{col 55}{space 4}-.3703153{col 68}{space 3} 1.623131
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0170656{col 27}{space 2} .0746158{col 38}{space 1}   -0.23{col 47}{space 3}0.819{col 55}{space 4}-.1633098{col 68}{space 3} .1291787
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .3268983{col 27}{space 2} .1407294{col 38}{space 1}    2.32{col 47}{space 3}0.020{col 55}{space 4} .0510737{col 68}{space 3} .6027229
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0099571{col 27}{space 2} .0012035{col 38}{space 1}    8.27{col 47}{space 3}0.000{col 55}{space 4} .0075982{col 68}{space 3} .0123159
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-21.96721{col 27}{space 2} .3743076{col 38}{space 1}  -58.69{col 47}{space 3}0.000{col 55}{space 4}-22.70084{col 68}{space 3}-21.23358
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .4859317{col 27}{space 2} .3010579{col 38}{space 1}    1.61{col 47}{space 3}0.107{col 55}{space 4}-.1041309{col 68}{space 3} 1.075994
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.026692{col 27}{space 2} .2347248{col 38}{space 1}   -4.37{col 47}{space 3}0.000{col 55}{space 4}-1.486744{col 68}{space 3}-.5666397
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1973  {c |}{col 15}{res}{space 2} .7484286{col 27}{space 2} .4752178{col 38}{space 1}    1.57{col 47}{space 3}0.115{col 55}{space 4}-.1829811{col 68}{space 3} 1.679838
{txt}{space 8}1974  {c |}{col 15}{res}{space 2} .8391673{col 27}{space 2} .5389661{col 38}{space 1}    1.56{col 47}{space 3}0.119{col 55}{space 4}-.2171869{col 68}{space 3} 1.895521
{txt}{space 8}1975  {c |}{col 15}{res}{space 2} 1.084935{col 27}{space 2} .5162269{col 38}{space 1}    2.10{col 47}{space 3}0.036{col 55}{space 4}  .073149{col 68}{space 3} 2.096721
{txt}{space 8}1976  {c |}{col 15}{res}{space 2} 1.298705{col 27}{space 2}  .540118{col 38}{space 1}    2.40{col 47}{space 3}0.016{col 55}{space 4} .2400927{col 68}{space 3} 2.357317
{txt}{space 8}1977  {c |}{col 15}{res}{space 2} .7543128{col 27}{space 2} .4104748{col 38}{space 1}    1.84{col 47}{space 3}0.066{col 55}{space 4}-.0502031{col 68}{space 3} 1.558829
{txt}{space 8}1978  {c |}{col 15}{res}{space 2} 1.010302{col 27}{space 2} .3753243{col 38}{space 1}    2.69{col 47}{space 3}0.007{col 55}{space 4} .2746795{col 68}{space 3} 1.745924
{txt}{space 8}1979  {c |}{col 15}{res}{space 2} .9146077{col 27}{space 2}    .3752{col 38}{space 1}    2.44{col 47}{space 3}0.015{col 55}{space 4} .1792293{col 68}{space 3} 1.649986
{txt}{space 8}1980  {c |}{col 15}{res}{space 2} .8924819{col 27}{space 2} .4221148{col 38}{space 1}    2.11{col 47}{space 3}0.034{col 55}{space 4}  .065152{col 68}{space 3} 1.719812
{txt}{space 8}1981  {c |}{col 15}{res}{space 2} 1.550354{col 27}{space 2}   .55896{col 38}{space 1}    2.77{col 47}{space 3}0.006{col 55}{space 4}  .454813{col 68}{space 3} 2.645896
{txt}{space 8}1982  {c |}{col 15}{res}{space 2} 1.197287{col 27}{space 2} .4497896{col 38}{space 1}    2.66{col 47}{space 3}0.008{col 55}{space 4} .3157154{col 68}{space 3} 2.078858
{txt}{space 8}1983  {c |}{col 15}{res}{space 2} .8786443{col 27}{space 2} .3939539{col 38}{space 1}    2.23{col 47}{space 3}0.026{col 55}{space 4} .1065088{col 68}{space 3}  1.65078
{txt}{space 8}1984  {c |}{col 15}{res}{space 2} .8290787{col 27}{space 2}  .357321{col 38}{space 1}    2.32{col 47}{space 3}0.020{col 55}{space 4} .1287424{col 68}{space 3} 1.529415
{txt}{space 8}1985  {c |}{col 15}{res}{space 2} .2994226{col 27}{space 2} .3507885{col 38}{space 1}    0.85{col 47}{space 3}0.393{col 55}{space 4}-.3881102{col 68}{space 3} .9869554
{txt}{space 8}1986  {c |}{col 15}{res}{space 2} .2914912{col 27}{space 2} .3426991{col 38}{space 1}    0.85{col 47}{space 3}0.395{col 55}{space 4}-.3801868{col 68}{space 3} .9631691
{txt}{space 8}1987  {c |}{col 15}{res}{space 2} .5671339{col 27}{space 2} .3893023{col 38}{space 1}    1.46{col 47}{space 3}0.145{col 55}{space 4}-.1958846{col 68}{space 3} 1.330153
{txt}{space 8}1988  {c |}{col 15}{res}{space 2} 1.269738{col 27}{space 2} .5490654{col 38}{space 1}    2.31{col 47}{space 3}0.021{col 55}{space 4} .1935897{col 68}{space 3} 2.345886
{txt}{space 8}1989  {c |}{col 15}{res}{space 2} .9000505{col 27}{space 2}  .339229{col 38}{space 1}    2.65{col 47}{space 3}0.008{col 55}{space 4} .2351738{col 68}{space 3} 1.564927
{txt}{space 8}1990  {c |}{col 15}{res}{space 2}  .869809{col 27}{space 2} .3628497{col 38}{space 1}    2.40{col 47}{space 3}0.017{col 55}{space 4} .1586366{col 68}{space 3} 1.580981
{txt}{space 8}1991  {c |}{col 15}{res}{space 2} 1.017336{col 27}{space 2} .3698657{col 38}{space 1}    2.75{col 47}{space 3}0.006{col 55}{space 4}  .292413{col 68}{space 3}  1.74226
{txt}{space 8}1992  {c |}{col 15}{res}{space 2} .1885977{col 27}{space 2} .4981531{col 38}{space 1}    0.38{col 47}{space 3}0.705{col 55}{space 4}-.7877643{col 68}{space 3}  1.16496
{txt}{space 8}1993  {c |}{col 15}{res}{space 2} .3855946{col 27}{space 2} .4721099{col 38}{space 1}    0.82{col 47}{space 3}0.414{col 55}{space 4}-.5397239{col 68}{space 3} 1.310913
{txt}{space 8}1994  {c |}{col 15}{res}{space 2} .7916979{col 27}{space 2} .4458457{col 38}{space 1}    1.78{col 47}{space 3}0.076{col 55}{space 4}-.0821436{col 68}{space 3} 1.665539
{txt}{space 8}1995  {c |}{col 15}{res}{space 2}-.4096045{col 27}{space 2} .3712512{col 38}{space 1}   -1.10{col 47}{space 3}0.270{col 55}{space 4}-1.137243{col 68}{space 3} .3180345
{txt}{space 8}1996  {c |}{col 15}{res}{space 2}-.5339606{col 27}{space 2} .3914865{col 38}{space 1}   -1.36{col 47}{space 3}0.173{col 55}{space 4} -1.30126{col 68}{space 3} .2333389
{txt}{space 8}1997  {c |}{col 15}{res}{space 2}-1.129556{col 27}{space 2} .4552073{col 38}{space 1}   -2.48{col 47}{space 3}0.013{col 55}{space 4}-2.021746{col 68}{space 3}-.2373661
{txt}{space 8}1998  {c |}{col 15}{res}{space 2}-.9420369{col 27}{space 2} .4612589{col 38}{space 1}   -2.04{col 47}{space 3}0.041{col 55}{space 4}-1.846088{col 68}{space 3} -.037986
{txt}{space 8}1999  {c |}{col 15}{res}{space 2} -.373719{col 27}{space 2} .4969096{col 38}{space 1}   -0.75{col 47}{space 3}0.452{col 55}{space 4}-1.347644{col 68}{space 3} .6002059
{txt}{space 8}2000  {c |}{col 15}{res}{space 2}-.6982109{col 27}{space 2} .4536937{col 38}{space 1}   -1.54{col 47}{space 3}0.124{col 55}{space 4}-1.587434{col 68}{space 3} .1910125
{txt}{space 8}2001  {c |}{col 15}{res}{space 2}-1.426797{col 27}{space 2} .4235938{col 38}{space 1}   -3.37{col 47}{space 3}0.001{col 55}{space 4}-2.257026{col 68}{space 3}-.5965685
{txt}{space 8}2002  {c |}{col 15}{res}{space 2}-.9924087{col 27}{space 2} .4138821{col 38}{space 1}   -2.40{col 47}{space 3}0.016{col 55}{space 4}-1.803603{col 68}{space 3}-.1812147
{txt}{space 8}2003  {c |}{col 15}{res}{space 2}-.5905689{col 27}{space 2} .4519644{col 38}{space 1}   -1.31{col 47}{space 3}0.191{col 55}{space 4}-1.476403{col 68}{space 3}  .295265
{txt}{space 8}2004  {c |}{col 15}{res}{space 2}-.3610245{col 27}{space 2} .4449616{col 38}{space 1}   -0.81{col 47}{space 3}0.417{col 55}{space 4}-1.233133{col 68}{space 3} .5110843
{txt}{space 8}2005  {c |}{col 15}{res}{space 2} .3983333{col 27}{space 2} .4505227{col 38}{space 1}    0.88{col 47}{space 3}0.377{col 55}{space 4}-.4846749{col 68}{space 3} 1.281341
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-15.35273{col 27}{space 2} 1.335681{col 38}{space 1}  -11.49{col 47}{space 3}0.000{col 55}{space 4}-17.97061{col 68}{space 3}-12.73484
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} .9322021{col 27}{space 2} .0522493{col 55}{space 4} .8297954{col 68}{space 3} 1.034609
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.540097{col 27}{space 2} .1327183{col 55}{space 4} 2.292849{col 68}{space 3} 2.814005
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3  $X i.region i.year, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-97093.719}  
Iteration 1:{space 3}log pseudolikelihood = {res:-55420.996}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-29009.681}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11452.927}  
Iteration 4:{space 3}log pseudolikelihood = {res:-8351.1882}  
Iteration 5:{space 3}log pseudolikelihood = {res:-8269.3386}  
Iteration 6:{space 3}log pseudolikelihood = {res:-8268.8404}  
Iteration 7:{space 3}log pseudolikelihood = {res:-8268.8298}  
Iteration 8:{space 3}log pseudolikelihood = {res:-8268.8291}  
Iteration 9:{space 3}log pseudolikelihood = {res: -8268.829}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2380.1074}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2204.4641}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-2083.2731}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2019.5394}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1989.5318}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1985.3697}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1985.2984}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1985.2984}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}47{txt}){col 67}= {res}   2306.63
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1985.2984{txt}{col 49}Pseudo R2{col 67}= {res}    0.1686

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.6057043{col 27}{space 2} .3197797{col 38}{space 1}   -1.89{col 47}{space 3}0.058{col 55}{space 4}-1.232461{col 68}{space 3} .0210524
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.336807{col 27}{space 2} .2520545{col 38}{space 1}    5.30{col 47}{space 3}0.000{col 55}{space 4} .8427888{col 68}{space 3} 1.830824
{txt}empowerscore3 {c |}{col 15}{res}{space 2}  .450917{col 27}{space 2} .0994718{col 38}{space 1}    4.53{col 47}{space 3}0.000{col 55}{space 4} .2559559{col 68}{space 3} .6458782
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .8975859{col 27}{space 2} .0719765{col 38}{space 1}   12.47{col 47}{space 3}0.000{col 55}{space 4} .7565147{col 68}{space 3} 1.038657
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0092879{col 27}{space 2} .0217428{col 38}{space 1}   -0.43{col 47}{space 3}0.669{col 55}{space 4}-.0519031{col 68}{space 3} .0333272
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .4840951{col 27}{space 2} .0724776{col 38}{space 1}    6.68{col 47}{space 3}0.000{col 55}{space 4} .3420415{col 68}{space 3} .6261486
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .2902455{col 27}{space 2} .1967067{col 38}{space 1}    1.48{col 47}{space 3}0.140{col 55}{space 4}-.0952925{col 68}{space 3} .6757835
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.817476{col 27}{space 2} .6382945{col 38}{space 1}   -2.85{col 47}{space 3}0.004{col 55}{space 4} -3.06851{col 68}{space 3}-.5664413
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1609255{col 27}{space 2} .1329086{col 38}{space 1}    1.21{col 47}{space 3}0.226{col 55}{space 4}-.0995707{col 68}{space 3} .4214216
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0431667{col 27}{space 2} .1682331{col 38}{space 1}    0.26{col 47}{space 3}0.797{col 55}{space 4}-.2865641{col 68}{space 3} .3728975
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0065645{col 27}{space 2} .0010598{col 38}{space 1}    6.19{col 47}{space 3}0.000{col 55}{space 4} .0044874{col 68}{space 3} .0086415
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-27.87631{col 27}{space 2} .9754733{col 38}{space 1}  -28.58{col 47}{space 3}0.000{col 55}{space 4} -29.7882{col 68}{space 3}-25.96442
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 2.398886{col 27}{space 2} .3382214{col 38}{space 1}    7.09{col 47}{space 3}0.000{col 55}{space 4} 1.735984{col 68}{space 3} 3.061788
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-2.340279{col 27}{space 2} .3957941{col 38}{space 1}   -5.91{col 47}{space 3}0.000{col 55}{space 4}-3.116021{col 68}{space 3}-1.564537
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1973  {c |}{col 15}{res}{space 2}-.1822503{col 27}{space 2} .5902955{col 38}{space 1}   -0.31{col 47}{space 3}0.758{col 55}{space 4}-1.339208{col 68}{space 3} .9747075
{txt}{space 8}1974  {c |}{col 15}{res}{space 2} .7903613{col 27}{space 2} .6274542{col 38}{space 1}    1.26{col 47}{space 3}0.208{col 55}{space 4}-.4394262{col 68}{space 3} 2.020149
{txt}{space 8}1975  {c |}{col 15}{res}{space 2}   .81274{col 27}{space 2} .5932287{col 38}{space 1}    1.37{col 47}{space 3}0.171{col 55}{space 4}-.3499669{col 68}{space 3} 1.975447
{txt}{space 8}1976  {c |}{col 15}{res}{space 2} 1.064506{col 27}{space 2} .5146741{col 38}{space 1}    2.07{col 47}{space 3}0.039{col 55}{space 4} .0557629{col 68}{space 3} 2.073248
{txt}{space 8}1977  {c |}{col 15}{res}{space 2} 1.123757{col 27}{space 2} .5021894{col 38}{space 1}    2.24{col 47}{space 3}0.025{col 55}{space 4} .1394838{col 68}{space 3}  2.10803
{txt}{space 8}1978  {c |}{col 15}{res}{space 2} 1.154829{col 27}{space 2} .5321372{col 38}{space 1}    2.17{col 47}{space 3}0.030{col 55}{space 4} .1118591{col 68}{space 3} 2.197799
{txt}{space 8}1979  {c |}{col 15}{res}{space 2} 1.043351{col 27}{space 2} .5117629{col 38}{space 1}    2.04{col 47}{space 3}0.041{col 55}{space 4} .0403143{col 68}{space 3} 2.046388
{txt}{space 8}1980  {c |}{col 15}{res}{space 2} .8308701{col 27}{space 2} .5095778{col 38}{space 1}    1.63{col 47}{space 3}0.103{col 55}{space 4} -.167884{col 68}{space 3} 1.829624
{txt}{space 8}1981  {c |}{col 15}{res}{space 2} .4941389{col 27}{space 2} .5192948{col 38}{space 1}    0.95{col 47}{space 3}0.341{col 55}{space 4}-.5236603{col 68}{space 3} 1.511938
{txt}{space 8}1982  {c |}{col 15}{res}{space 2} .5353961{col 27}{space 2} .5292982{col 38}{space 1}    1.01{col 47}{space 3}0.312{col 55}{space 4}-.5020093{col 68}{space 3} 1.572802
{txt}{space 8}1983  {c |}{col 15}{res}{space 2} .4638593{col 27}{space 2} .5211997{col 38}{space 1}    0.89{col 47}{space 3}0.373{col 55}{space 4}-.5576734{col 68}{space 3} 1.485392
{txt}{space 8}1984  {c |}{col 15}{res}{space 2} .0915404{col 27}{space 2} .4939727{col 38}{space 1}    0.19{col 47}{space 3}0.853{col 55}{space 4}-.8766282{col 68}{space 3} 1.059709
{txt}{space 8}1985  {c |}{col 15}{res}{space 2} .3734525{col 27}{space 2} .5057905{col 38}{space 1}    0.74{col 47}{space 3}0.460{col 55}{space 4}-.6178786{col 68}{space 3} 1.364784
{txt}{space 8}1986  {c |}{col 15}{res}{space 2} .4358024{col 27}{space 2} .5558936{col 38}{space 1}    0.78{col 47}{space 3}0.433{col 55}{space 4} -.653729{col 68}{space 3} 1.525334
{txt}{space 8}1987  {c |}{col 15}{res}{space 2} .7640837{col 27}{space 2} .5796137{col 38}{space 1}    1.32{col 47}{space 3}0.187{col 55}{space 4}-.3719382{col 68}{space 3} 1.900106
{txt}{space 8}1988  {c |}{col 15}{res}{space 2}  1.31513{col 27}{space 2} .6868419{col 38}{space 1}    1.91{col 47}{space 3}0.056{col 55}{space 4}-.0310554{col 68}{space 3} 2.661315
{txt}{space 8}1989  {c |}{col 15}{res}{space 2} 1.972665{col 27}{space 2} .6560992{col 38}{space 1}    3.01{col 47}{space 3}0.003{col 55}{space 4} .6867339{col 68}{space 3} 3.258596
{txt}{space 8}1990  {c |}{col 15}{res}{space 2} 1.583043{col 27}{space 2} .6077906{col 38}{space 1}    2.60{col 47}{space 3}0.009{col 55}{space 4} .3917952{col 68}{space 3} 2.774291
{txt}{space 8}1991  {c |}{col 15}{res}{space 2} 2.217043{col 27}{space 2} .9679505{col 38}{space 1}    2.29{col 47}{space 3}0.022{col 55}{space 4} .3198951{col 68}{space 3} 4.114191
{txt}{space 8}1992  {c |}{col 15}{res}{space 2}  .288107{col 27}{space 2} .6535624{col 38}{space 1}    0.44{col 47}{space 3}0.659{col 55}{space 4}-.9928519{col 68}{space 3} 1.569066
{txt}{space 8}1993  {c |}{col 15}{res}{space 2}-.2577314{col 27}{space 2} .5842425{col 38}{space 1}   -0.44{col 47}{space 3}0.659{col 55}{space 4}-1.402826{col 68}{space 3} .8873629
{txt}{space 8}1994  {c |}{col 15}{res}{space 2} .2730081{col 27}{space 2} .5889358{col 38}{space 1}    0.46{col 47}{space 3}0.643{col 55}{space 4}-.8812849{col 68}{space 3} 1.427301
{txt}{space 8}1995  {c |}{col 15}{res}{space 2}-.0335106{col 27}{space 2} .5862748{col 38}{space 1}   -0.06{col 47}{space 3}0.954{col 55}{space 4}-1.182588{col 68}{space 3} 1.115567
{txt}{space 8}1996  {c |}{col 15}{res}{space 2}-.2601632{col 27}{space 2} .5888335{col 38}{space 1}   -0.44{col 47}{space 3}0.659{col 55}{space 4}-1.414256{col 68}{space 3} .8939292
{txt}{space 8}1997  {c |}{col 15}{res}{space 2}-.4398617{col 27}{space 2} .6768386{col 38}{space 1}   -0.65{col 47}{space 3}0.516{col 55}{space 4}-1.766441{col 68}{space 3} .8867177
{txt}{space 8}1998  {c |}{col 15}{res}{space 2}-.3495285{col 27}{space 2} .6599615{col 38}{space 1}   -0.53{col 47}{space 3}0.596{col 55}{space 4}-1.643029{col 68}{space 3} .9439722
{txt}{space 8}1999  {c |}{col 15}{res}{space 2}-.4056319{col 27}{space 2} .7309009{col 38}{space 1}   -0.55{col 47}{space 3}0.579{col 55}{space 4}-1.838171{col 68}{space 3} 1.026907
{txt}{space 8}2000  {c |}{col 15}{res}{space 2} -.547755{col 27}{space 2} .6484203{col 38}{space 1}   -0.84{col 47}{space 3}0.398{col 55}{space 4}-1.818635{col 68}{space 3} .7231253
{txt}{space 8}2001  {c |}{col 15}{res}{space 2}-1.390864{col 27}{space 2} .6515544{col 38}{space 1}   -2.13{col 47}{space 3}0.033{col 55}{space 4}-2.667887{col 68}{space 3}-.1138404
{txt}{space 8}2002  {c |}{col 15}{res}{space 2}-.3522078{col 27}{space 2} .7130574{col 38}{space 1}   -0.49{col 47}{space 3}0.621{col 55}{space 4}-1.749775{col 68}{space 3} 1.045359
{txt}{space 8}2003  {c |}{col 15}{res}{space 2}-.4577898{col 27}{space 2} .6447741{col 38}{space 1}   -0.71{col 47}{space 3}0.478{col 55}{space 4}-1.721524{col 68}{space 3} .8059443
{txt}{space 8}2004  {c |}{col 15}{res}{space 2}-.4042848{col 27}{space 2} .6389018{col 38}{space 1}   -0.63{col 47}{space 3}0.527{col 55}{space 4}-1.656509{col 68}{space 3} .8479398
{txt}{space 8}2005  {c |}{col 15}{res}{space 2}-.2483116{col 27}{space 2} .6353039{col 38}{space 1}   -0.39{col 47}{space 3}0.696{col 55}{space 4}-1.493484{col 68}{space 3} .9968612
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-16.98377{col 27}{space 2} 2.108708{col 38}{space 1}   -8.05{col 47}{space 3}0.000{col 55}{space 4}-21.11676{col 68}{space 3}-12.85077
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.170845{col 27}{space 2} .0815304{col 55}{space 4} 1.011048{col 68}{space 3} 1.330641
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 3.224716{col 27}{space 2} .2629123{col 55}{space 4}  2.74848{col 68}{space 3} 3.783469
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3  $X i.region i.year, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(47, 1080)       =  {res}    25.35
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6283
                                                {txt}Root MSE          =    {res} 1.2574

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .2651123{col 27}{space 2} .1557853{col 38}{space 1}    1.70{col 47}{space 3}0.089{col 55}{space 4}-.0405639{col 68}{space 3} .5707885
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.1680579{col 27}{space 2} .1438662{col 38}{space 1}   -1.17{col 47}{space 3}0.243{col 55}{space 4}-.4503468{col 68}{space 3} .1142309
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1343734{col 27}{space 2} .0402895{col 38}{space 1}    3.34{col 47}{space 3}0.001{col 55}{space 4} .0553188{col 68}{space 3}  .213428
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .2963037{col 27}{space 2} .0369427{col 38}{space 1}    8.02{col 47}{space 3}0.000{col 55}{space 4} .2238162{col 68}{space 3} .3687912
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0270493{col 27}{space 2} .0103721{col 38}{space 1}   -2.61{col 47}{space 3}0.009{col 55}{space 4} -.047401{col 68}{space 3}-.0066977
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0231438{col 27}{space 2} .0223934{col 38}{space 1}    1.03{col 47}{space 3}0.302{col 55}{space 4}-.0207956{col 68}{space 3} .0670832
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .4332647{col 27}{space 2} .0868052{col 38}{space 1}    4.99{col 47}{space 3}0.000{col 55}{space 4} .2629387{col 68}{space 3} .6035907
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.1296411{col 27}{space 2} .3100324{col 38}{space 1}   -0.42{col 47}{space 3}0.676{col 55}{space 4}-.7379752{col 68}{space 3} .4786929
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0375784{col 27}{space 2} .0606763{col 38}{space 1}   -0.62{col 47}{space 3}0.536{col 55}{space 4}-.1566352{col 68}{space 3} .0814784
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .1678927{col 27}{space 2} .1056218{col 38}{space 1}    1.59{col 47}{space 3}0.112{col 55}{space 4}-.0393544{col 68}{space 3} .3751398
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0118435{col 27}{space 2} .0010123{col 38}{space 1}   11.70{col 47}{space 3}0.000{col 55}{space 4} .0098572{col 68}{space 3} .0138299
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.5982261{col 27}{space 2} .1935037{col 38}{space 1}   -3.09{col 47}{space 3}0.002{col 55}{space 4}-.9779119{col 68}{space 3}-.2185404
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 1.475642{col 27}{space 2} .2515334{col 38}{space 1}    5.87{col 47}{space 3}0.000{col 55}{space 4} .9820925{col 68}{space 3} 1.969191
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.1745213{col 27}{space 2} .1693242{col 38}{space 1}   -1.03{col 47}{space 3}0.303{col 55}{space 4} -.506763{col 68}{space 3} .1577204
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1973  {c |}{col 15}{res}{space 2}-.1782475{col 27}{space 2} .3260624{col 38}{space 1}   -0.55{col 47}{space 3}0.585{col 55}{space 4} -.818035{col 68}{space 3} .4615401
{txt}{space 8}1974  {c |}{col 15}{res}{space 2} .1888732{col 27}{space 2} .3163138{col 38}{space 1}    0.60{col 47}{space 3}0.551{col 55}{space 4}-.4317861{col 68}{space 3} .8095324
{txt}{space 8}1975  {c |}{col 15}{res}{space 2}-.0643622{col 27}{space 2}  .351353{col 38}{space 1}   -0.18{col 47}{space 3}0.855{col 55}{space 4}-.7537741{col 68}{space 3} .6250496
{txt}{space 8}1976  {c |}{col 15}{res}{space 2} .1944403{col 27}{space 2} .3641063{col 38}{space 1}    0.53{col 47}{space 3}0.593{col 55}{space 4}-.5199956{col 68}{space 3} .9088762
{txt}{space 8}1977  {c |}{col 15}{res}{space 2} .4435979{col 27}{space 2} .3367571{col 38}{space 1}    1.32{col 47}{space 3}0.188{col 55}{space 4}-.2171744{col 68}{space 3}  1.10437
{txt}{space 8}1978  {c |}{col 15}{res}{space 2} .3756029{col 27}{space 2} .3361999{col 38}{space 1}    1.12{col 47}{space 3}0.264{col 55}{space 4}-.2840761{col 68}{space 3} 1.035282
{txt}{space 8}1979  {c |}{col 15}{res}{space 2} .5525426{col 27}{space 2} .3454661{col 38}{space 1}    1.60{col 47}{space 3}0.110{col 55}{space 4}-.1253183{col 68}{space 3} 1.230403
{txt}{space 8}1980  {c |}{col 15}{res}{space 2} .2115327{col 27}{space 2} .3392784{col 38}{space 1}    0.62{col 47}{space 3}0.533{col 55}{space 4}-.4541869{col 68}{space 3} .8772522
{txt}{space 8}1981  {c |}{col 15}{res}{space 2} .6105985{col 27}{space 2} .4058255{col 38}{space 1}    1.50{col 47}{space 3}0.133{col 55}{space 4}-.1856972{col 68}{space 3} 1.406894
{txt}{space 8}1982  {c |}{col 15}{res}{space 2} .6940149{col 27}{space 2} .3906405{col 38}{space 1}    1.78{col 47}{space 3}0.076{col 55}{space 4}-.0724855{col 68}{space 3} 1.460515
{txt}{space 8}1983  {c |}{col 15}{res}{space 2} .5467499{col 27}{space 2} .3476105{col 38}{space 1}    1.57{col 47}{space 3}0.116{col 55}{space 4}-.1353185{col 68}{space 3} 1.228818
{txt}{space 8}1984  {c |}{col 15}{res}{space 2} .4065541{col 27}{space 2} .3308575{col 38}{space 1}    1.23{col 47}{space 3}0.219{col 55}{space 4}-.2426422{col 68}{space 3}  1.05575
{txt}{space 8}1985  {c |}{col 15}{res}{space 2} .1736128{col 27}{space 2} .3046539{col 38}{space 1}    0.57{col 47}{space 3}0.569{col 55}{space 4}-.4241677{col 68}{space 3} .7713934
{txt}{space 8}1986  {c |}{col 15}{res}{space 2} .3433832{col 27}{space 2} .2993726{col 38}{space 1}    1.15{col 47}{space 3}0.252{col 55}{space 4}-.2440345{col 68}{space 3} .9308009
{txt}{space 8}1987  {c |}{col 15}{res}{space 2} .2729305{col 27}{space 2} .3001047{col 38}{space 1}    0.91{col 47}{space 3}0.363{col 55}{space 4}-.3159238{col 68}{space 3} .8617848
{txt}{space 8}1988  {c |}{col 15}{res}{space 2} .1910111{col 27}{space 2} .3185571{col 38}{space 1}    0.60{col 47}{space 3}0.549{col 55}{space 4}-.4340498{col 68}{space 3}  .816072
{txt}{space 8}1989  {c |}{col 15}{res}{space 2}-.0485311{col 27}{space 2}  .293996{col 38}{space 1}   -0.17{col 47}{space 3}0.869{col 55}{space 4}-.6253991{col 68}{space 3}  .528337
{txt}{space 8}1990  {c |}{col 15}{res}{space 2}-.1803381{col 27}{space 2} .2679704{col 38}{space 1}   -0.67{col 47}{space 3}0.501{col 55}{space 4}-.7061396{col 68}{space 3} .3454635
{txt}{space 8}1991  {c |}{col 15}{res}{space 2}-.3249366{col 27}{space 2} .2724611{col 38}{space 1}   -1.19{col 47}{space 3}0.233{col 55}{space 4}-.8595496{col 68}{space 3} .2096764
{txt}{space 8}1992  {c |}{col 15}{res}{space 2}-.7255074{col 27}{space 2} .3141692{col 38}{space 1}   -2.31{col 47}{space 3}0.021{col 55}{space 4}-1.341959{col 68}{space 3}-.1090563
{txt}{space 8}1993  {c |}{col 15}{res}{space 2}-.5055625{col 27}{space 2} .2938753{col 38}{space 1}   -1.72{col 47}{space 3}0.086{col 55}{space 4}-1.082194{col 68}{space 3} .0710688
{txt}{space 8}1994  {c |}{col 15}{res}{space 2} .0241062{col 27}{space 2} .3124183{col 38}{space 1}    0.08{col 47}{space 3}0.939{col 55}{space 4}-.5889094{col 68}{space 3} .6371218
{txt}{space 8}1995  {c |}{col 15}{res}{space 2}-.5600412{col 27}{space 2} .2819014{col 38}{space 1}   -1.99{col 47}{space 3}0.047{col 55}{space 4}-1.113178{col 68}{space 3}-.0069046
{txt}{space 8}1996  {c |}{col 15}{res}{space 2}-.5476378{col 27}{space 2} .2866697{col 38}{space 1}   -1.91{col 47}{space 3}0.056{col 55}{space 4} -1.11013{col 68}{space 3} .0148548
{txt}{space 8}1997  {c |}{col 15}{res}{space 2}-.8067138{col 27}{space 2} .2626595{col 38}{space 1}   -3.07{col 47}{space 3}0.002{col 55}{space 4}-1.322095{col 68}{space 3}-.2913331
{txt}{space 8}1998  {c |}{col 15}{res}{space 2}-.8255968{col 27}{space 2} .2744132{col 38}{space 1}   -3.01{col 47}{space 3}0.003{col 55}{space 4} -1.36404{col 68}{space 3}-.2871534
{txt}{space 8}1999  {c |}{col 15}{res}{space 2}-.7264156{col 27}{space 2} .2983527{col 38}{space 1}   -2.43{col 47}{space 3}0.015{col 55}{space 4}-1.311832{col 68}{space 3}-.1409989
{txt}{space 8}2000  {c |}{col 15}{res}{space 2}-.7940066{col 27}{space 2} .2830546{col 38}{space 1}   -2.81{col 47}{space 3}0.005{col 55}{space 4}-1.349406{col 68}{space 3}-.2386073
{txt}{space 8}2001  {c |}{col 15}{res}{space 2}-.9447964{col 27}{space 2} .2860895{col 38}{space 1}   -3.30{col 47}{space 3}0.001{col 55}{space 4}-1.506151{col 68}{space 3}-.3834422
{txt}{space 8}2002  {c |}{col 15}{res}{space 2}-.7366401{col 27}{space 2} .2622785{col 38}{space 1}   -2.81{col 47}{space 3}0.005{col 55}{space 4}-1.251273{col 68}{space 3}-.2220069
{txt}{space 8}2003  {c |}{col 15}{res}{space 2}-.5976557{col 27}{space 2} .2575728{col 38}{space 1}   -2.32{col 47}{space 3}0.021{col 55}{space 4}-1.103056{col 68}{space 3} -.092256
{txt}{space 8}2004  {c |}{col 15}{res}{space 2}-.3950241{col 27}{space 2} .2760745{col 38}{space 1}   -1.43{col 47}{space 3}0.153{col 55}{space 4}-.9367273{col 68}{space 3} .1466791
{txt}{space 8}2005  {c |}{col 15}{res}{space 2}-.4060183{col 27}{space 2}   .29426{col 38}{space 1}   -1.38{col 47}{space 3}0.168{col 55}{space 4}-.9834044{col 68}{space 3} .1713678
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} -3.98278{col 27}{space 2} .9991358{col 38}{space 1}   -3.99{col 47}{space 3}0.000{col 55}{space 4}-5.943248{col 68}{space 3}-2.022313
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3  $X i.region i.year, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(47, 1080)       =  {res}    27.95
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6564
                                                {txt}Root MSE          =    {res}  .9948

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}  -.16659{col 27}{space 2}  .101186{col 38}{space 1}   -1.65{col 47}{space 3}0.100{col 55}{space 4}-.3651333{col 68}{space 3} .0319534
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .7479176{col 27}{space 2} .1238365{col 38}{space 1}    6.04{col 47}{space 3}0.000{col 55}{space 4} .5049301{col 68}{space 3}  .990905
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1930219{col 27}{space 2} .0363987{col 38}{space 1}    5.30{col 47}{space 3}0.000{col 55}{space 4} .1216018{col 68}{space 3} .2644421
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .2010978{col 27}{space 2}  .027308{col 38}{space 1}    7.36{col 47}{space 3}0.000{col 55}{space 4} .1475151{col 68}{space 3} .2546805
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0539155{col 27}{space 2} .0085578{col 38}{space 1}   -6.30{col 47}{space 3}0.000{col 55}{space 4}-.0707073{col 68}{space 3}-.0371236
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}    .0212{col 27}{space 2} .0160963{col 38}{space 1}    1.32{col 47}{space 3}0.188{col 55}{space 4}-.0103836{col 68}{space 3} .0527835
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.1089159{col 27}{space 2} .0606352{col 38}{space 1}   -1.80{col 47}{space 3}0.073{col 55}{space 4}-.2278921{col 68}{space 3} .0100602
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.7892101{col 27}{space 2}   .21264{col 38}{space 1}   -3.71{col 47}{space 3}0.000{col 55}{space 4}-1.206444{col 68}{space 3}-.3719757
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1024079{col 27}{space 2} .0412826{col 38}{space 1}    2.48{col 47}{space 3}0.013{col 55}{space 4} .0214048{col 68}{space 3} .1834111
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0125939{col 27}{space 2} .0847552{col 38}{space 1}   -0.15{col 47}{space 3}0.882{col 55}{space 4}-.1788973{col 68}{space 3} .1537095
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0054592{col 27}{space 2} .0008072{col 38}{space 1}    6.76{col 47}{space 3}0.000{col 55}{space 4} .0038754{col 68}{space 3}  .007043
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.7877584{col 27}{space 2} .1568995{col 38}{space 1}   -5.02{col 47}{space 3}0.000{col 55}{space 4}-1.095621{col 68}{space 3} -.479896
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.120121{col 27}{space 2} .2136096{col 38}{space 1}   14.61{col 47}{space 3}0.000{col 55}{space 4} 2.700984{col 68}{space 3} 3.539258
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.109673{col 27}{space 2} .1339464{col 38}{space 1}   -8.28{col 47}{space 3}0.000{col 55}{space 4}-1.372497{col 68}{space 3} -.846848
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1973  {c |}{col 15}{res}{space 2} -.326438{col 27}{space 2} .3712952{col 38}{space 1}   -0.88{col 47}{space 3}0.379{col 55}{space 4} -1.05498{col 68}{space 3} .4021038
{txt}{space 8}1974  {c |}{col 15}{res}{space 2}  -.17779{col 27}{space 2} .3658749{col 38}{space 1}   -0.49{col 47}{space 3}0.627{col 55}{space 4}-.8956962{col 68}{space 3} .5401161
{txt}{space 8}1975  {c |}{col 15}{res}{space 2}-.4048496{col 27}{space 2}  .322922{col 38}{space 1}   -1.25{col 47}{space 3}0.210{col 55}{space 4}-1.038475{col 68}{space 3}  .228776
{txt}{space 8}1976  {c |}{col 15}{res}{space 2}-.3178309{col 27}{space 2} .3444005{col 38}{space 1}   -0.92{col 47}{space 3}0.356{col 55}{space 4}-.9936008{col 68}{space 3} .3579391
{txt}{space 8}1977  {c |}{col 15}{res}{space 2}-.0858958{col 27}{space 2} .3601608{col 38}{space 1}   -0.24{col 47}{space 3}0.812{col 55}{space 4}-.7925899{col 68}{space 3} .6207984
{txt}{space 8}1978  {c |}{col 15}{res}{space 2}-.0915553{col 27}{space 2} .3467364{col 38}{space 1}   -0.26{col 47}{space 3}0.792{col 55}{space 4}-.7719086{col 68}{space 3} .5887979
{txt}{space 8}1979  {c |}{col 15}{res}{space 2} .1597933{col 27}{space 2} .3720082{col 38}{space 1}    0.43{col 47}{space 3}0.668{col 55}{space 4}-.5701473{col 68}{space 3}  .889734
{txt}{space 8}1980  {c |}{col 15}{res}{space 2}-.0152222{col 27}{space 2}   .35898{col 38}{space 1}   -0.04{col 47}{space 3}0.966{col 55}{space 4}-.7195995{col 68}{space 3} .6891552
{txt}{space 8}1981  {c |}{col 15}{res}{space 2} .1544956{col 27}{space 2} .3504244{col 38}{space 1}    0.44{col 47}{space 3}0.659{col 55}{space 4}-.5330942{col 68}{space 3} .8420855
{txt}{space 8}1982  {c |}{col 15}{res}{space 2} .5440402{col 27}{space 2} .4248318{col 38}{space 1}    1.28{col 47}{space 3}0.201{col 55}{space 4}-.2895489{col 68}{space 3} 1.377629
{txt}{space 8}1983  {c |}{col 15}{res}{space 2} .3534376{col 27}{space 2} .4177663{col 38}{space 1}    0.85{col 47}{space 3}0.398{col 55}{space 4} -.466288{col 68}{space 3} 1.173163
{txt}{space 8}1984  {c |}{col 15}{res}{space 2} .3562996{col 27}{space 2} .4075402{col 38}{space 1}    0.87{col 47}{space 3}0.382{col 55}{space 4}-.4433607{col 68}{space 3}  1.15596
{txt}{space 8}1985  {c |}{col 15}{res}{space 2}-.1036311{col 27}{space 2} .3415392{col 38}{space 1}   -0.30{col 47}{space 3}0.762{col 55}{space 4}-.7737867{col 68}{space 3} .5665245
{txt}{space 8}1986  {c |}{col 15}{res}{space 2} -.139612{col 27}{space 2} .3399838{col 38}{space 1}   -0.41{col 47}{space 3}0.681{col 55}{space 4}-.8067156{col 68}{space 3} .5274915
{txt}{space 8}1987  {c |}{col 15}{res}{space 2} -.192533{col 27}{space 2} .3408585{col 38}{space 1}   -0.56{col 47}{space 3}0.572{col 55}{space 4}-.8613529{col 68}{space 3} .4762868
{txt}{space 8}1988  {c |}{col 15}{res}{space 2}-.1902238{col 27}{space 2} .3513723{col 38}{space 1}   -0.54{col 47}{space 3}0.588{col 55}{space 4}-.8796735{col 68}{space 3}  .499226
{txt}{space 8}1989  {c |}{col 15}{res}{space 2}  -.24258{col 27}{space 2} .3405097{col 38}{space 1}   -0.71{col 47}{space 3}0.476{col 55}{space 4}-.9107155{col 68}{space 3} .4255555
{txt}{space 8}1990  {c |}{col 15}{res}{space 2} -.390576{col 27}{space 2} .3263914{col 38}{space 1}   -1.20{col 47}{space 3}0.232{col 55}{space 4}-1.031009{col 68}{space 3} .2498572
{txt}{space 8}1991  {c |}{col 15}{res}{space 2}-.2776439{col 27}{space 2} .3227771{col 38}{space 1}   -0.86{col 47}{space 3}0.390{col 55}{space 4}-.9109853{col 68}{space 3} .3556974
{txt}{space 8}1992  {c |}{col 15}{res}{space 2}-.3811366{col 27}{space 2} .3193524{col 38}{space 1}   -1.19{col 47}{space 3}0.233{col 55}{space 4}-1.007758{col 68}{space 3} .2454847
{txt}{space 8}1993  {c |}{col 15}{res}{space 2}-.3067675{col 27}{space 2} .3178493{col 38}{space 1}   -0.97{col 47}{space 3}0.335{col 55}{space 4}-.9304397{col 68}{space 3} .3169046
{txt}{space 8}1994  {c |}{col 15}{res}{space 2}-.0005366{col 27}{space 2} .3177809{col 38}{space 1}   -0.00{col 47}{space 3}0.999{col 55}{space 4}-.6240745{col 68}{space 3} .6230012
{txt}{space 8}1995  {c |}{col 15}{res}{space 2}-.2352658{col 27}{space 2} .3104288{col 38}{space 1}   -0.76{col 47}{space 3}0.449{col 55}{space 4}-.8443777{col 68}{space 3}  .373846
{txt}{space 8}1996  {c |}{col 15}{res}{space 2} -.122693{col 27}{space 2} .3120357{col 38}{space 1}   -0.39{col 47}{space 3}0.694{col 55}{space 4} -.734958{col 68}{space 3} .4895719
{txt}{space 8}1997  {c |}{col 15}{res}{space 2}-.2066493{col 27}{space 2} .3123728{col 38}{space 1}   -0.66{col 47}{space 3}0.508{col 55}{space 4}-.8195757{col 68}{space 3} .4062771
{txt}{space 8}1998  {c |}{col 15}{res}{space 2}-.2377871{col 27}{space 2} .3145366{col 38}{space 1}   -0.76{col 47}{space 3}0.450{col 55}{space 4}-.8549591{col 68}{space 3} .3793849
{txt}{space 8}1999  {c |}{col 15}{res}{space 2}-.2025948{col 27}{space 2} .3263883{col 38}{space 1}   -0.62{col 47}{space 3}0.535{col 55}{space 4}-.8430218{col 68}{space 3} .4378323
{txt}{space 8}2000  {c |}{col 15}{res}{space 2}-.1983113{col 27}{space 2} .3132432{col 38}{space 1}   -0.63{col 47}{space 3}0.527{col 55}{space 4}-.8129456{col 68}{space 3}  .416323
{txt}{space 8}2001  {c |}{col 15}{res}{space 2}-.2178731{col 27}{space 2} .3148891{col 38}{space 1}   -0.69{col 47}{space 3}0.489{col 55}{space 4}-.8357368{col 68}{space 3} .3999907
{txt}{space 8}2002  {c |}{col 15}{res}{space 2}-.2786418{col 27}{space 2} .3071697{col 38}{space 1}   -0.91{col 47}{space 3}0.365{col 55}{space 4}-.8813589{col 68}{space 3} .3240752
{txt}{space 8}2003  {c |}{col 15}{res}{space 2} -.236131{col 27}{space 2} .3110157{col 38}{space 1}   -0.76{col 47}{space 3}0.448{col 55}{space 4}-.8463944{col 68}{space 3} .3741325
{txt}{space 8}2004  {c |}{col 15}{res}{space 2}-.1145604{col 27}{space 2} .3053745{col 38}{space 1}   -0.38{col 47}{space 3}0.708{col 55}{space 4} -.713755{col 68}{space 3} .4846341
{txt}{space 8}2005  {c |}{col 15}{res}{space 2}-.1721478{col 27}{space 2} .3018282{col 38}{space 1}   -0.57{col 47}{space 3}0.569{col 55}{space 4}-.7643839{col 68}{space 3} .4200883
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.102892{col 27}{space 2} .7113269{col 38}{space 1}   -2.96{col 47}{space 3}0.003{col 55}{space 4}-3.498631{col 68}{space 3}-.7071524
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_yr.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_yr.tex"'})

{com}. eststo clear
{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3  $X i.ccode i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -510462.5}  
Iteration 1:{space 3}log pseudolikelihood = {res:-408249.49}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-345930.72}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-211231.55}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-187462.69}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-155788.87}  
Iteration 6:{space 3}log pseudolikelihood = {res:-42456.642}  
Iteration 7:{space 3}log pseudolikelihood = {res:-13854.775}  
Iteration 8:{space 3}log pseudolikelihood = {res:-12915.776}  
Iteration 9:{space 3}log pseudolikelihood = {res:-12842.181}  
Iteration 10:{space 2}log pseudolikelihood = {res:-12841.079}  
Iteration 11:{space 2}log pseudolikelihood = {res:-12841.079}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3521.3623}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -3237.127}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-3071.8739}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-3016.6057}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2784.1651}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2723.2386}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2716.0871}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2716.0473}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2716.0473}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}60{txt}){col 67}= {res}  49711.37
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2716.0473{txt}{col 49}Pseudo R2{col 67}= {res}    0.2287

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}  .278988{col 27}{space 2} .1885856{col 38}{space 1}    1.48{col 47}{space 3}0.139{col 55}{space 4} -.090633{col 68}{space 3} .6486091
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.2733855{col 27}{space 2} .1840701{col 38}{space 1}   -1.49{col 47}{space 3}0.137{col 55}{space 4}-.6341564{col 68}{space 3} .0873853
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .4999993{col 27}{space 2} .1857189{col 38}{space 1}    2.69{col 47}{space 3}0.007{col 55}{space 4}  .135997{col 68}{space 3} .8640016
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .5785593{col 27}{space 2}  .404944{col 38}{space 1}    1.43{col 47}{space 3}0.153{col 55}{space 4}-.2151164{col 68}{space 3} 1.372235
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2} .0333802{col 27}{space 2} .0246825{col 38}{space 1}    1.35{col 47}{space 3}0.176{col 55}{space 4}-.0149966{col 68}{space 3} .0817569
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0014959{col 27}{space 2}  .036311{col 38}{space 1}   -0.04{col 47}{space 3}0.967{col 55}{space 4}-.0726642{col 68}{space 3} .0696723
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0735343{col 27}{space 2} .1035771{col 38}{space 1}    0.71{col 47}{space 3}0.478{col 55}{space 4}-.1294731{col 68}{space 3} .2765418
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.1521129{col 27}{space 2} .5370053{col 38}{space 1}   -0.28{col 47}{space 3}0.777{col 55}{space 4}-1.204624{col 68}{space 3}  .900398
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.3920717{col 27}{space 2} .0995968{col 38}{space 1}   -3.94{col 47}{space 3}0.000{col 55}{space 4}-.5872779{col 68}{space 3}-.1968655
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.1800033{col 27}{space 2} .0935459{col 38}{space 1}   -1.92{col 47}{space 3}0.054{col 55}{space 4}  -.36335{col 68}{space 3} .0033433
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0040802{col 27}{space 2} .0007838{col 38}{space 1}    5.21{col 47}{space 3}0.000{col 55}{space 4} .0025439{col 68}{space 3} .0056164
{txt}{space 13} {c |}
{space 8}ccode {c |}
{space 10}20  {c |}{col 15}{res}{space 2}-3.203121{col 27}{space 2} 1.126748{col 38}{space 1}   -2.84{col 47}{space 3}0.004{col 55}{space 4}-5.411507{col 68}{space 3}-.9947354
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-22.32025{col 27}{space 2} 1.770964{col 38}{space 1}  -12.60{col 47}{space 3}0.000{col 55}{space 4}-25.79128{col 68}{space 3}-18.84923
{txt}{space 10}51  {c |}{col 15}{res}{space 2}-1.444166{col 27}{space 2} 1.990515{col 38}{space 1}   -0.73{col 47}{space 3}0.468{col 55}{space 4}-5.345504{col 68}{space 3} 2.457172
{txt}{space 10}52  {c |}{col 15}{res}{space 2}-20.66078{col 27}{space 2} 2.260382{col 38}{space 1}   -9.14{col 47}{space 3}0.000{col 55}{space 4}-25.09104{col 68}{space 3}-16.23051
{txt}{space 10}70  {c |}{col 15}{res}{space 2}-2.480723{col 27}{space 2} .8524762{col 38}{space 1}   -2.91{col 47}{space 3}0.004{col 55}{space 4}-4.151546{col 68}{space 3}-.8099006
{txt}{space 10}90  {c |}{col 15}{res}{space 2}-21.05044{col 27}{space 2} 1.602443{col 38}{space 1}  -13.14{col 47}{space 3}0.000{col 55}{space 4}-24.19118{col 68}{space 3}-17.90971
{txt}{space 10}91  {c |}{col 15}{res}{space 2}-1.270112{col 27}{space 2} 1.767812{col 38}{space 1}   -0.72{col 47}{space 3}0.472{col 55}{space 4}-4.734961{col 68}{space 3} 2.194736
{txt}{space 10}92  {c |}{col 15}{res}{space 2} .9504654{col 27}{space 2} 1.770589{col 38}{space 1}    0.54{col 47}{space 3}0.591{col 55}{space 4}-2.519825{col 68}{space 3} 4.420756
{txt}{space 10}93  {c |}{col 15}{res}{space 2}-.4612428{col 27}{space 2} 1.941701{col 38}{space 1}   -0.24{col 47}{space 3}0.812{col 55}{space 4}-4.266906{col 68}{space 3} 3.344421
{txt}{space 10}94  {c |}{col 15}{res}{space 2} -1.04762{col 27}{space 2} 1.861446{col 38}{space 1}   -0.56{col 47}{space 3}0.574{col 55}{space 4}-4.695988{col 68}{space 3} 2.600748
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{txt}{space 9}135  {c |}{col 15}{res}{space 2} 1.505631{col 27}{space 2} 1.160679{col 38}{space 1}    1.30{col 47}{space 3}0.195{col 55}{space 4}-.7692578{col 68}{space 3}  3.78052
{txt}{space 9}140  {c |}{col 15}{res}{space 2}-3.114122{col 27}{space 2} .6886291{col 38}{space 1}   -4.52{col 47}{space 3}0.000{col 55}{space 4} -4.46381{col 68}{space 3}-1.764434
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{txt}{space 9}310  {c |}{col 15}{res}{space 2}-20.58707{col 27}{space 2} 1.409268{col 38}{space 1}  -14.61{col 47}{space 3}0.000{col 55}{space 4}-23.34919{col 68}{space 3}-17.82496
{txt}{space 9}325  {c |}{col 15}{res}{space 2} .2901597{col 27}{space 2} .7161916{col 38}{space 1}    0.41{col 47}{space 3}0.685{col 55}{space 4} -1.11355{col 68}{space 3} 1.693869
{txt}{space 9}350  {c |}{col 15}{res}{space 2} 1.389239{col 27}{space 2} 1.407135{col 38}{space 1}    0.99{col 47}{space 3}0.324{col 55}{space 4}-1.368696{col 68}{space 3} 4.147173
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{txt}{space 9}360  {c |}{col 15}{res}{space 2}-21.50562{col 27}{space 2} 1.206426{col 38}{space 1}  -17.83{col 47}{space 3}0.000{col 55}{space 4}-23.87017{col 68}{space 3}-19.14107
{txt}{space 9}375  {c |}{col 15}{res}{space 2} -4.00388{col 27}{space 2} 1.804393{col 38}{space 1}   -2.22{col 47}{space 3}0.026{col 55}{space 4}-7.540425{col 68}{space 3} -.467334
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{txt}{space 9}900  {c |}{col 15}{res}{space 2}-4.327814{col 27}{space 2} 1.340787{col 38}{space 1}   -3.23{col 47}{space 3}0.001{col 55}{space 4}-6.955709{col 68}{space 3}-1.699919
{txt}{space 9}920  {c |}{col 15}{res}{space 2}-20.61343{col 27}{space 2} 1.794434{col 38}{space 1}  -11.49{col 47}{space 3}0.000{col 55}{space 4}-24.13046{col 68}{space 3} -17.0964
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2}-.1313708{col 27}{space 2} .1278864{col 38}{space 1}   -1.03{col 47}{space 3}0.304{col 55}{space 4}-.3820235{col 68}{space 3} .1192819
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.9584654{col 27}{space 2} .1755017{col 38}{space 1}   -5.46{col 47}{space 3}0.000{col 55}{space 4}-1.302442{col 68}{space 3}-.6144885
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-2.293852{col 27}{space 2} .2276776{col 38}{space 1}  -10.08{col 47}{space 3}0.000{col 55}{space 4}-2.740092{col 68}{space 3}-1.847612
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.334707{col 27}{space 2} 7.934679{col 38}{space 1}   -0.42{col 47}{space 3}0.674{col 55}{space 4}-18.88639{col 68}{space 3} 12.21698
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} .1012461{col 27}{space 2} .0673747{col 55}{space 4}-.0308058{col 68}{space 3} .2332981
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 1.106549{col 27}{space 2} .0745534{col 55}{space 4} .9696639{col 68}{space 3} 1.262758
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3  $X i.ccode i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-77245.848}  
Iteration 1:{space 3}log pseudolikelihood = {res:-58053.548}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-38446.677}  
Iteration 3:{space 3}log pseudolikelihood = {res:-20748.623}  
Iteration 4:{space 3}log pseudolikelihood = {res:-5362.6112}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4960.0072}  
Iteration 6:{space 3}log pseudolikelihood = {res:-4944.6471}  
Iteration 7:{space 3}log pseudolikelihood = {res:-4944.6071}  
Iteration 8:{space 3}log pseudolikelihood = {res:-4944.6032}  
Iteration 9:{space 3}log pseudolikelihood = {res:-4944.6032}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2387.9311}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2115.8209}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-2105.7374}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-1905.0727}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1868.6675}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1830.0215}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-1695.8573}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1675.0183}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1674.3997}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1674.3979}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1674.3979}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}60{txt}){col 67}= {res} 154990.33
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1674.3979{txt}{col 49}Pseudo R2{col 67}= {res}    0.2988

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-1.324931{col 27}{space 2} .2460162{col 38}{space 1}   -5.39{col 47}{space 3}0.000{col 55}{space 4}-1.807114{col 68}{space 3}-.8427482
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.180523{col 27}{space 2} .2416377{col 38}{space 1}    4.89{col 47}{space 3}0.000{col 55}{space 4} .7069214{col 68}{space 3} 1.654124
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .5833445{col 27}{space 2}  .212509{col 38}{space 1}    2.75{col 47}{space 3}0.006{col 55}{space 4} .1668346{col 68}{space 3} .9998544
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}-.4913724{col 27}{space 2} .7731069{col 38}{space 1}   -0.64{col 47}{space 3}0.525{col 55}{space 4}-2.006634{col 68}{space 3} 1.023889
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0447436{col 27}{space 2} .0297316{col 38}{space 1}   -1.50{col 47}{space 3}0.132{col 55}{space 4}-.1030164{col 68}{space 3} .0135292
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0363709{col 27}{space 2} .0662547{col 38}{space 1}   -0.55{col 47}{space 3}0.583{col 55}{space 4}-.1662276{col 68}{space 3} .0934858
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.1149243{col 27}{space 2} .1168333{col 38}{space 1}   -0.98{col 47}{space 3}0.325{col 55}{space 4}-.3439134{col 68}{space 3} .1140647
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.083077{col 27}{space 2} .6641332{col 38}{space 1}   -1.63{col 47}{space 3}0.103{col 55}{space 4}-2.384754{col 68}{space 3} .2186004
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0472797{col 27}{space 2} .1309594{col 38}{space 1}    0.36{col 47}{space 3}0.718{col 55}{space 4}-.2093961{col 68}{space 3} .3039555
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.1420614{col 27}{space 2} .1073119{col 38}{space 1}   -1.32{col 47}{space 3}0.186{col 55}{space 4}-.3523889{col 68}{space 3}  .068266
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0030137{col 27}{space 2} .0007589{col 38}{space 1}    3.97{col 47}{space 3}0.000{col 55}{space 4} .0015263{col 68}{space 3}  .004501
{txt}{space 13} {c |}
{space 8}ccode {c |}
{space 10}20  {c |}{col 15}{res}{space 2}-6.098295{col 27}{space 2} 2.033735{col 38}{space 1}   -3.00{col 47}{space 3}0.003{col 55}{space 4}-10.08434{col 68}{space 3}-2.112248
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-33.19738{col 27}{space 2} 3.385292{col 38}{space 1}   -9.81{col 47}{space 3}0.000{col 55}{space 4}-39.83243{col 68}{space 3}-26.56233
{txt}{space 10}51  {c |}{col 15}{res}{space 2}-31.65646{col 27}{space 2} 3.708147{col 38}{space 1}   -8.54{col 47}{space 3}0.000{col 55}{space 4} -38.9243{col 68}{space 3}-24.38863
{txt}{space 10}52  {c |}{col 15}{res}{space 2}-33.71745{col 27}{space 2} 4.286372{col 38}{space 1}   -7.87{col 47}{space 3}0.000{col 55}{space 4}-42.11858{col 68}{space 3}-25.31631
{txt}{space 10}70  {c |}{col 15}{res}{space 2}-28.34347{col 27}{space 2} 1.460039{col 38}{space 1}  -19.41{col 47}{space 3}0.000{col 55}{space 4}-31.20509{col 68}{space 3}-25.48184
{txt}{space 10}90  {c |}{col 15}{res}{space 2} -31.7052{col 27}{space 2} 2.897957{col 38}{space 1}  -10.94{col 47}{space 3}0.000{col 55}{space 4}-37.38509{col 68}{space 3}-26.02531
{txt}{space 10}91  {c |}{col 15}{res}{space 2}-32.79537{col 27}{space 2} 3.416911{col 38}{space 1}   -9.60{col 47}{space 3}0.000{col 55}{space 4}-39.49239{col 68}{space 3}-26.09834
{txt}{space 10}92  {c |}{col 15}{res}{space 2}-28.47577{col 27}{space 2} 3.284247{col 38}{space 1}   -8.67{col 47}{space 3}0.000{col 55}{space 4}-34.91277{col 68}{space 3}-22.03876
{txt}{space 10}93  {c |}{col 15}{res}{space 2}-8.277152{col 27}{space 2} 3.726259{col 38}{space 1}   -2.22{col 47}{space 3}0.026{col 55}{space 4}-15.58048{col 68}{space 3}-.9738186
{txt}{space 10}94  {c |}{col 15}{res}{space 2}-33.44075{col 27}{space 2} 3.453689{col 38}{space 1}   -9.68{col 47}{space 3}0.000{col 55}{space 4}-40.20985{col 68}{space 3}-26.67164
{txt}{space 10}95  {c |}{col 15}{res}{space 2} -6.61332{col 27}{space 2} 3.860274{col 38}{space 1}   -1.71{col 47}{space 3}0.087{col 55}{space 4}-14.17932{col 68}{space 3} .9526778
{txt}{space 9}100  {c |}{col 15}{res}{space 2}-6.747693{col 27}{space 2} 1.928278{col 38}{space 1}   -3.50{col 47}{space 3}0.000{col 55}{space 4}-10.52705{col 68}{space 3}-2.968338
{txt}{space 9}101  {c |}{col 15}{res}{space 2}-30.77671{col 27}{space 2} 1.995501{col 38}{space 1}  -15.42{col 47}{space 3}0.000{col 55}{space 4}-34.68782{col 68}{space 3} -26.8656
{txt}{space 9}130  {c |}{col 15}{res}{space 2}-9.014472{col 27}{space 2} 2.625032{col 38}{space 1}   -3.43{col 47}{space 3}0.001{col 55}{space 4}-14.15944{col 68}{space 3}-3.869504
{txt}{space 9}135  {c |}{col 15}{res}{space 2}-7.050188{col 27}{space 2} 2.325777{col 38}{space 1}   -3.03{col 47}{space 3}0.002{col 55}{space 4}-11.60863{col 68}{space 3} -2.49175
{txt}{space 9}140  {c |}{col 15}{res}{space 2} -5.09165{col 27}{space 2} 1.016063{col 38}{space 1}   -5.01{col 47}{space 3}0.000{col 55}{space 4}-7.083097{col 68}{space 3}-3.100204
{txt}{space 9}145  {c |}{col 15}{res}{space 2}-5.023399{col 27}{space 2} 3.219661{col 38}{space 1}   -1.56{col 47}{space 3}0.119{col 55}{space 4}-11.33382{col 68}{space 3} 1.287021
{txt}{space 9}150  {c |}{col 15}{res}{space 2}-31.58569{col 27}{space 2} 3.286571{col 38}{space 1}   -9.61{col 47}{space 3}0.000{col 55}{space 4}-38.02725{col 68}{space 3}-25.14413
{txt}{space 9}155  {c |}{col 15}{res}{space 2}-7.846038{col 27}{space 2} 2.677782{col 38}{space 1}   -2.93{col 47}{space 3}0.003{col 55}{space 4}-13.09439{col 68}{space 3}-2.597681
{txt}{space 9}160  {c |}{col 15}{res}{space 2}-6.358121{col 27}{space 2} 1.980417{col 38}{space 1}   -3.21{col 47}{space 3}0.001{col 55}{space 4}-10.23967{col 68}{space 3}-2.476576
{txt}{space 9}165  {c |}{col 15}{res}{space 2}-32.19099{col 27}{space 2} 3.499573{col 38}{space 1}   -9.20{col 47}{space 3}0.000{col 55}{space 4}-39.05003{col 68}{space 3}-25.33195
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.597152{col 27}{space 2} 1.370679{col 38}{space 1}   -1.17{col 47}{space 3}0.244{col 55}{space 4}-4.283634{col 68}{space 3}  1.08933
{txt}{space 9}205  {c |}{col 15}{res}{space 2}-5.493443{col 27}{space 2} 3.464182{col 38}{space 1}   -1.59{col 47}{space 3}0.113{col 55}{space 4}-12.28311{col 68}{space 3} 1.296228
{txt}{space 9}210  {c |}{col 15}{res}{space 2}-3.921601{col 27}{space 2}  2.30452{col 38}{space 1}   -1.70{col 47}{space 3}0.089{col 55}{space 4}-8.438377{col 68}{space 3} .5951752
{txt}{space 9}211  {c |}{col 15}{res}{space 2}-3.864202{col 27}{space 2} 2.497039{col 38}{space 1}   -1.55{col 47}{space 3}0.122{col 55}{space 4}-8.758308{col 68}{space 3} 1.029904
{txt}{space 9}220  {c |}{col 15}{res}{space 2}-.5569462{col 27}{space 2} 1.334835{col 38}{space 1}   -0.42{col 47}{space 3}0.677{col 55}{space 4}-3.173174{col 68}{space 3} 2.059282
{txt}{space 9}225  {c |}{col 15}{res}{space 2}-5.341121{col 27}{space 2} 2.953793{col 38}{space 1}   -1.81{col 47}{space 3}0.071{col 55}{space 4}-11.13045{col 68}{space 3} .4482065
{txt}{space 9}230  {c |}{col 15}{res}{space 2} -.685847{col 27}{space 2} 1.586852{col 38}{space 1}   -0.43{col 47}{space 3}0.666{col 55}{space 4} -3.79602{col 68}{space 3} 2.424326
{txt}{space 9}235  {c |}{col 15}{res}{space 2} -6.11837{col 27}{space 2} 2.509712{col 38}{space 1}   -2.44{col 47}{space 3}0.015{col 55}{space 4}-11.03731{col 68}{space 3}-1.199425
{txt}{space 9}290  {c |}{col 15}{res}{space 2}-31.12671{col 27}{space 2}  1.79929{col 38}{space 1}  -17.30{col 47}{space 3}0.000{col 55}{space 4}-34.65326{col 68}{space 3}-27.60017
{txt}{space 9}305  {c |}{col 15}{res}{space 2}-4.697483{col 27}{space 2} 2.668857{col 38}{space 1}   -1.76{col 47}{space 3}0.078{col 55}{space 4}-9.928347{col 68}{space 3} .5333815
{txt}{space 9}310  {c |}{col 15}{res}{space 2}-31.59278{col 27}{space 2} 2.622723{col 38}{space 1}  -12.05{col 47}{space 3}0.000{col 55}{space 4}-36.73323{col 68}{space 3}-26.45234
{txt}{space 9}325  {c |}{col 15}{res}{space 2}-3.303244{col 27}{space 2} 1.236121{col 38}{space 1}   -2.67{col 47}{space 3}0.008{col 55}{space 4}-5.725998{col 68}{space 3}-.8804905
{txt}{space 9}350  {c |}{col 15}{res}{space 2}-5.938663{col 27}{space 2} 2.594006{col 38}{space 1}   -2.29{col 47}{space 3}0.022{col 55}{space 4}-11.02282{col 68}{space 3}-.8545052
{txt}{space 9}355  {c |}{col 15}{res}{space 2} -29.9048{col 27}{space 2} 2.807062{col 38}{space 1}  -10.65{col 47}{space 3}0.000{col 55}{space 4}-35.40654{col 68}{space 3}-24.40306
{txt}{space 9}359  {c |}{col 15}{res}{space 2}-33.86249{col 27}{space 2} 4.041655{col 38}{space 1}   -8.38{col 47}{space 3}0.000{col 55}{space 4}-41.78399{col 68}{space 3}-25.94099
{txt}{space 9}360  {c |}{col 15}{res}{space 2}-31.22249{col 27}{space 2} 2.147177{col 38}{space 1}  -14.54{col 47}{space 3}0.000{col 55}{space 4}-35.43088{col 68}{space 3}-27.01411
{txt}{space 9}375  {c |}{col 15}{res}{space 2} -9.27775{col 27}{space 2}  3.21531{col 38}{space 1}   -2.89{col 47}{space 3}0.004{col 55}{space 4}-15.57964{col 68}{space 3}-2.975858
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{txt}{space 9}385  {c |}{col 15}{res}{space 2}-7.763963{col 27}{space 2} 3.247562{col 38}{space 1}   -2.39{col 47}{space 3}0.017{col 55}{space 4}-14.12907{col 68}{space 3}-1.398858
{txt}{space 9}390  {c |}{col 15}{res}{space 2} -6.05087{col 27}{space 2} 3.022199{col 38}{space 1}   -2.00{col 47}{space 3}0.045{col 55}{space 4}-11.97427{col 68}{space 3}-.1274685
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{txt}{space 9}740  {c |}{col 15}{res}{space 2}-4.893226{col 27}{space 2} .7230238{col 38}{space 1}   -6.77{col 47}{space 3}0.000{col 55}{space 4}-6.310327{col 68}{space 3}-3.476126
{txt}{space 9}900  {c |}{col 15}{res}{space 2}-7.543518{col 27}{space 2} 2.361355{col 38}{space 1}   -3.19{col 47}{space 3}0.001{col 55}{space 4}-12.17169{col 68}{space 3}-2.915348
{txt}{space 9}920  {c |}{col 15}{res}{space 2}-31.53047{col 27}{space 2} 3.380753{col 38}{space 1}   -9.33{col 47}{space 3}0.000{col 55}{space 4}-38.15662{col 68}{space 3}-24.90432
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2}-.0050753{col 27}{space 2} .1353615{col 38}{space 1}   -0.04{col 47}{space 3}0.970{col 55}{space 4}-.2703789{col 68}{space 3} .2602283
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.6120814{col 27}{space 2}  .236474{col 38}{space 1}   -2.59{col 47}{space 3}0.010{col 55}{space 4}-1.075562{col 68}{space 3}-.1486008
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.396475{col 27}{space 2} .3015053{col 38}{space 1}   -4.63{col 47}{space 3}0.000{col 55}{space 4}-1.987415{col 68}{space 3}-.8055358
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 14.85158{col 27}{space 2} 15.23207{col 38}{space 1}    0.98{col 47}{space 3}0.330{col 55}{space 4}-15.00273{col 68}{space 3}  44.7059
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} -.292111{col 27}{space 2} .0984832{col 55}{space 4}-.4851345{col 68}{space 3}-.0990874
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} .7466857{col 27}{space 2}  .073536{col 55}{space 4} .6156144{col 68}{space 3} .9056636
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3  $X i.ccode i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}{help j_robustsingular:F(59, 1067) }      =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.7929
                                                {txt}Root MSE          =    {res} .94432

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .0642899{col 27}{space 2} .1371026{col 38}{space 1}    0.47{col 47}{space 3}0.639{col 55}{space 4}-.2047315{col 68}{space 3} .3333113
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.1347387{col 27}{space 2} .1405767{col 38}{space 1}   -0.96{col 47}{space 3}0.338{col 55}{space 4}-.4105767{col 68}{space 3} .1410994
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3246081{col 27}{space 2} .1071593{col 38}{space 1}    3.03{col 47}{space 3}0.003{col 55}{space 4} .1143412{col 68}{space 3} .5348751
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} -.329662{col 27}{space 2} .3700556{col 38}{space 1}   -0.89{col 47}{space 3}0.373{col 55}{space 4}-1.055781{col 68}{space 3} .3964574
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2} .0072217{col 27}{space 2} .0147327{col 38}{space 1}    0.49{col 47}{space 3}0.624{col 55}{space 4}-.0216866{col 68}{space 3}   .03613
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0273905{col 27}{space 2} .0273198{col 38}{space 1}   -1.00{col 47}{space 3}0.316{col 55}{space 4}-.0809972{col 68}{space 3} .0262162
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0621992{col 27}{space 2}  .095811{col 38}{space 1}    0.65{col 47}{space 3}0.516{col 55}{space 4}-.1258002{col 68}{space 3} .2501985
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .6535757{col 27}{space 2} .4077592{col 38}{space 1}    1.60{col 47}{space 3}0.109{col 55}{space 4}-.1465253{col 68}{space 3} 1.453677
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.2273843{col 27}{space 2} .0820087{col 38}{space 1}   -2.77{col 47}{space 3}0.006{col 55}{space 4}-.3883009{col 68}{space 3}-.0664676
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .1144357{col 27}{space 2} .0783834{col 38}{space 1}    1.46{col 47}{space 3}0.145{col 55}{space 4}-.0393674{col 68}{space 3} .2682389
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0064383{col 27}{space 2}  .000928{col 38}{space 1}    6.94{col 47}{space 3}0.000{col 55}{space 4} .0046173{col 68}{space 3} .0082593
{txt}{space 13} {c |}
{space 8}ccode {c |}
{space 10}20  {c |}{col 15}{res}{space 2}-2.186792{col 27}{space 2} .9610032{col 38}{space 1}   -2.28{col 47}{space 3}0.023{col 55}{space 4}-4.072463{col 68}{space 3}-.3011215
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-3.532256{col 27}{space 2} 1.614134{col 38}{space 1}   -2.19{col 47}{space 3}0.029{col 55}{space 4}-6.699494{col 68}{space 3}-.3650186
{txt}{space 10}51  {c |}{col 15}{res}{space 2}-2.029532{col 27}{space 2}  1.79404{col 38}{space 1}   -1.13{col 47}{space 3}0.258{col 55}{space 4}-5.549778{col 68}{space 3} 1.490715
{txt}{space 10}52  {c |}{col 15}{res}{space 2}-3.333485{col 27}{space 2} 2.048592{col 38}{space 1}   -1.63{col 47}{space 3}0.104{col 55}{space 4}-7.353212{col 68}{space 3}  .686241
{txt}{space 10}70  {c |}{col 15}{res}{space 2}-1.578532{col 27}{space 2} .7158943{col 38}{space 1}   -2.20{col 47}{space 3}0.028{col 55}{space 4}-2.983252{col 68}{space 3}-.1738113
{txt}{space 10}90  {c |}{col 15}{res}{space 2}  -2.4772{col 27}{space 2} 1.411446{col 38}{space 1}   -1.76{col 47}{space 3}0.080{col 55}{space 4}-5.246725{col 68}{space 3} .2923249
{txt}{space 10}91  {c |}{col 15}{res}{space 2}-2.221115{col 27}{space 2} 1.648496{col 38}{space 1}   -1.35{col 47}{space 3}0.178{col 55}{space 4}-5.455776{col 68}{space 3} 1.013547
{txt}{space 10}92  {c |}{col 15}{res}{space 2}-1.540013{col 27}{space 2} 1.654057{col 38}{space 1}   -0.93{col 47}{space 3}0.352{col 55}{space 4}-4.785588{col 68}{space 3} 1.705561
{txt}{space 10}93  {c |}{col 15}{res}{space 2}-1.849515{col 27}{space 2} 1.779781{col 38}{space 1}   -1.04{col 47}{space 3}0.299{col 55}{space 4}-5.341783{col 68}{space 3} 1.642753
{txt}{space 10}94  {c |}{col 15}{res}{space 2}-2.327962{col 27}{space 2} 1.639909{col 38}{space 1}   -1.42{col 47}{space 3}0.156{col 55}{space 4}-5.545775{col 68}{space 3} .8898508
{txt}{space 10}95  {c |}{col 15}{res}{space 2}-2.092303{col 27}{space 2} 1.854392{col 38}{space 1}   -1.13{col 47}{space 3}0.259{col 55}{space 4}-5.730973{col 68}{space 3} 1.546366
{txt}{space 9}100  {c |}{col 15}{res}{space 2} 3.378299{col 27}{space 2} .9501894{col 38}{space 1}    3.56{col 47}{space 3}0.000{col 55}{space 4} 1.513847{col 68}{space 3} 5.242751
{txt}{space 9}101  {c |}{col 15}{res}{space 2}-.5462789{col 27}{space 2} 1.048023{col 38}{space 1}   -0.52{col 47}{space 3}0.602{col 55}{space 4}-2.602699{col 68}{space 3} 1.510141
{txt}{space 9}130  {c |}{col 15}{res}{space 2}-1.936062{col 27}{space 2} 1.272917{col 38}{space 1}   -1.52{col 47}{space 3}0.129{col 55}{space 4}-4.433767{col 68}{space 3} .5616428
{txt}{space 9}135  {c |}{col 15}{res}{space 2} 2.432384{col 27}{space 2} 1.158888{col 38}{space 1}    2.10{col 47}{space 3}0.036{col 55}{space 4} .1584271{col 68}{space 3} 4.706341
{txt}{space 9}140  {c |}{col 15}{res}{space 2} -.949097{col 27}{space 2} .5979045{col 38}{space 1}   -1.59{col 47}{space 3}0.113{col 55}{space 4}-2.122299{col 68}{space 3} .2241052
{txt}{space 9}145  {c |}{col 15}{res}{space 2}-2.068011{col 27}{space 2} 1.562827{col 38}{space 1}   -1.32{col 47}{space 3}0.186{col 55}{space 4}-5.134574{col 68}{space 3} .9985525
{txt}{space 9}150  {c |}{col 15}{res}{space 2}-2.645657{col 27}{space 2}  1.57052{col 38}{space 1}   -1.68{col 47}{space 3}0.092{col 55}{space 4}-5.727315{col 68}{space 3} .4360002
{txt}{space 9}155  {c |}{col 15}{res}{space 2}-1.821055{col 27}{space 2} 1.256602{col 38}{space 1}   -1.45{col 47}{space 3}0.148{col 55}{space 4}-4.286747{col 68}{space 3} .6446376
{txt}{space 9}160  {c |}{col 15}{res}{space 2}-1.542529{col 27}{space 2} .9745348{col 38}{space 1}   -1.58{col 47}{space 3}0.114{col 55}{space 4}-3.454751{col 68}{space 3} .3696933
{txt}{space 9}165  {c |}{col 15}{res}{space 2}-2.100457{col 27}{space 2} 1.679529{col 38}{space 1}   -1.25{col 47}{space 3}0.211{col 55}{space 4}-5.396011{col 68}{space 3} 1.195097
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.8106895{col 27}{space 2} .6866569{col 38}{space 1}   -1.18{col 47}{space 3}0.238{col 55}{space 4}-2.158041{col 68}{space 3} .5366615
{txt}{space 9}205  {c |}{col 15}{res}{space 2}-2.274082{col 27}{space 2} 1.654503{col 38}{space 1}   -1.37{col 47}{space 3}0.170{col 55}{space 4}-5.520531{col 68}{space 3} .9723681
{txt}{space 9}210  {c |}{col 15}{res}{space 2}-1.625238{col 27}{space 2}  1.10444{col 38}{space 1}   -1.47{col 47}{space 3}0.141{col 55}{space 4} -3.79236{col 68}{space 3} .5418831
{txt}{space 9}211  {c |}{col 15}{res}{space 2}-1.796315{col 27}{space 2} 1.201592{col 38}{space 1}   -1.49{col 47}{space 3}0.135{col 55}{space 4}-4.154066{col 68}{space 3} .5614366
{txt}{space 9}220  {c |}{col 15}{res}{space 2}-.9357997{col 27}{space 2} .6724107{col 38}{space 1}   -1.39{col 47}{space 3}0.164{col 55}{space 4}-2.255197{col 68}{space 3} .3835977
{txt}{space 9}225  {c |}{col 15}{res}{space 2} -1.69142{col 27}{space 2} 1.368496{col 38}{space 1}   -1.24{col 47}{space 3}0.217{col 55}{space 4}-4.376669{col 68}{space 3} .9938292
{txt}{space 9}230  {c |}{col 15}{res}{space 2} 1.277086{col 27}{space 2} .7812344{col 38}{space 1}    1.63{col 47}{space 3}0.102{col 55}{space 4}-.2558439{col 68}{space 3} 2.810016
{txt}{space 9}235  {c |}{col 15}{res}{space 2}-1.241354{col 27}{space 2} 1.209452{col 38}{space 1}   -1.03{col 47}{space 3}0.305{col 55}{space 4}-3.614527{col 68}{space 3}  1.13182
{txt}{space 9}290  {c |}{col 15}{res}{space 2}-1.409063{col 27}{space 2} .8025132{col 38}{space 1}   -1.76{col 47}{space 3}0.079{col 55}{space 4}-2.983746{col 68}{space 3} .1656203
{txt}{space 9}305  {c |}{col 15}{res}{space 2}-1.172011{col 27}{space 2} 1.292999{col 38}{space 1}   -0.91{col 47}{space 3}0.365{col 55}{space 4}-3.709121{col 68}{space 3} 1.365098
{txt}{space 9}310  {c |}{col 15}{res}{space 2}-1.795832{col 27}{space 2} 1.248855{col 38}{space 1}   -1.44{col 47}{space 3}0.151{col 55}{space 4}-4.246323{col 68}{space 3} .6546576
{txt}{space 9}325  {c |}{col 15}{res}{space 2} .0213676{col 27}{space 2}  .660286{col 38}{space 1}    0.03{col 47}{space 3}0.974{col 55}{space 4}-1.274239{col 68}{space 3} 1.316974
{txt}{space 9}350  {c |}{col 15}{res}{space 2}-.6719159{col 27}{space 2} 1.262135{col 38}{space 1}   -0.53{col 47}{space 3}0.595{col 55}{space 4}-3.148464{col 68}{space 3} 1.804633
{txt}{space 9}355  {c |}{col 15}{res}{space 2}-1.994998{col 27}{space 2} 1.343077{col 38}{space 1}   -1.49{col 47}{space 3}0.138{col 55}{space 4}-4.630371{col 68}{space 3} .6403751
{txt}{space 9}359  {c |}{col 15}{res}{space 2}-3.625224{col 27}{space 2}  1.84697{col 38}{space 1}   -1.96{col 47}{space 3}0.050{col 55}{space 4}-7.249329{col 68}{space 3}-.0011188
{txt}{space 9}360  {c |}{col 15}{res}{space 2}-1.904165{col 27}{space 2} 1.008176{col 38}{space 1}   -1.89{col 47}{space 3}0.059{col 55}{space 4}-3.882397{col 68}{space 3} .0740674
{txt}{space 9}375  {c |}{col 15}{res}{space 2}-2.244539{col 27}{space 2} 1.472074{col 38}{space 1}   -1.52{col 47}{space 3}0.128{col 55}{space 4}-5.133027{col 68}{space 3} .6439481
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{txt}{space 9}385  {c |}{col 15}{res}{space 2}-2.793173{col 27}{space 2} 1.535811{col 38}{space 1}   -1.82{col 47}{space 3}0.069{col 55}{space 4}-5.806725{col 68}{space 3} .2203789
{txt}{space 9}390  {c |}{col 15}{res}{space 2}-1.994769{col 27}{space 2} 1.455382{col 38}{space 1}   -1.37{col 47}{space 3}0.171{col 55}{space 4}-4.850504{col 68}{space 3}  .860967
{txt}{space 9}640  {c |}{col 15}{res}{space 2} 2.233722{col 27}{space 2} .9234271{col 38}{space 1}    2.42{col 47}{space 3}0.016{col 55}{space 4} .4217832{col 68}{space 3} 4.045662
{txt}{space 9}666  {c |}{col 15}{res}{space 2}-.6189524{col 27}{space 2} 1.533833{col 38}{space 1}   -0.40{col 47}{space 3}0.687{col 55}{space 4}-3.628623{col 68}{space 3} 2.390719
{txt}{space 9}740  {c |}{col 15}{res}{space 2}-.4313271{col 27}{space 2} .3623679{col 38}{space 1}   -1.19{col 47}{space 3}0.234{col 55}{space 4}-1.142362{col 68}{space 3} .2797075
{txt}{space 9}900  {c |}{col 15}{res}{space 2}-2.503775{col 27}{space 2} 1.125864{col 38}{space 1}   -2.22{col 47}{space 3}0.026{col 55}{space 4}-4.712934{col 68}{space 3}-.2946166
{txt}{space 9}920  {c |}{col 15}{res}{space 2}-2.257017{col 27}{space 2} 1.622748{col 38}{space 1}   -1.39{col 47}{space 3}0.165{col 55}{space 4}-5.441157{col 68}{space 3}  .927122
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1349345{col 27}{space 2} .1143654{col 38}{space 1}    1.18{col 47}{space 3}0.238{col 55}{space 4}-.0894722{col 68}{space 3} .3593411
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.6859705{col 27}{space 2} .1432016{col 38}{space 1}   -4.79{col 47}{space 3}0.000{col 55}{space 4}-.9669592{col 68}{space 3}-.4049818
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.004643{col 27}{space 2} .1758693{col 38}{space 1}   -5.71{col 47}{space 3}0.000{col 55}{space 4}-1.349732{col 68}{space 3}-.6595543
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 9.584163{col 27}{space 2} 7.233647{col 38}{space 1}    1.32{col 47}{space 3}0.185{col 55}{space 4}-4.609624{col 68}{space 3} 23.77795
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3  $X i.ccode i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(60, 1067)       =  {res}    52.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.7956
                                                {txt}Root MSE          =    {res} .77207

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} -.063616{col 27}{space 2} .0618496{col 38}{space 1}   -1.03{col 47}{space 3}0.304{col 55}{space 4}-.1849767{col 68}{space 3} .0577448
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .2704898{col 27}{space 2} .0825299{col 38}{space 1}    3.28{col 47}{space 3}0.001{col 55}{space 4} .1085504{col 68}{space 3} .4324292
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3156198{col 27}{space 2} .0599903{col 38}{space 1}    5.26{col 47}{space 3}0.000{col 55}{space 4} .1979074{col 68}{space 3} .4333323
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}-.4032368{col 27}{space 2} .3011872{col 38}{space 1}   -1.34{col 47}{space 3}0.181{col 55}{space 4}-.9942231{col 68}{space 3} .1877496
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0707445{col 27}{space 2} .0109991{col 38}{space 1}   -6.43{col 47}{space 3}0.000{col 55}{space 4}-.0923267{col 68}{space 3}-.0491622
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0248222{col 27}{space 2} .0196182{col 38}{space 1}   -1.27{col 47}{space 3}0.206{col 55}{space 4}-.0633168{col 68}{space 3} .0136724
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0673066{col 27}{space 2} .0532399{col 38}{space 1}    1.26{col 47}{space 3}0.206{col 55}{space 4}-.0371602{col 68}{space 3} .1717734
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.7337584{col 27}{space 2} .2525197{col 38}{space 1}   -2.91{col 47}{space 3}0.004{col 55}{space 4} -1.22925{col 68}{space 3}-.2382668
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0082423{col 27}{space 2} .0652068{col 38}{space 1}   -0.13{col 47}{space 3}0.899{col 55}{space 4}-.1361904{col 68}{space 3} .1197058
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} -.148045{col 27}{space 2} .0665791{col 38}{space 1}   -2.22{col 47}{space 3}0.026{col 55}{space 4}-.2786858{col 68}{space 3}-.0174042
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0027718{col 27}{space 2} .0006466{col 38}{space 1}    4.29{col 47}{space 3}0.000{col 55}{space 4}  .001503{col 68}{space 3} .0040406
{txt}{space 13} {c |}
{space 8}ccode {c |}
{space 10}20  {c |}{col 15}{res}{space 2}-2.428467{col 27}{space 2} .8079386{col 38}{space 1}   -3.01{col 47}{space 3}0.003{col 55}{space 4}-4.013796{col 68}{space 3}-.8431381
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-5.205023{col 27}{space 2} 1.327229{col 38}{space 1}   -3.92{col 47}{space 3}0.000{col 55}{space 4}-7.809298{col 68}{space 3}-2.600749
{txt}{space 10}51  {c |}{col 15}{res}{space 2}-4.855603{col 27}{space 2} 1.467358{col 38}{space 1}   -3.31{col 47}{space 3}0.001{col 55}{space 4}-7.734838{col 68}{space 3}-1.976369
{txt}{space 10}52  {c |}{col 15}{res}{space 2}-5.020406{col 27}{space 2} 1.695471{col 38}{space 1}   -2.96{col 47}{space 3}0.003{col 55}{space 4}-8.347242{col 68}{space 3} -1.69357
{txt}{space 10}70  {c |}{col 15}{res}{space 2}-3.499996{col 27}{space 2} .5857382{col 38}{space 1}   -5.98{col 47}{space 3}0.000{col 55}{space 4}-4.649325{col 68}{space 3}-2.350666
{txt}{space 10}90  {c |}{col 15}{res}{space 2}-4.829303{col 27}{space 2} 1.173502{col 38}{space 1}   -4.12{col 47}{space 3}0.000{col 55}{space 4}-7.131936{col 68}{space 3}-2.526669
{txt}{space 10}91  {c |}{col 15}{res}{space 2}-5.240104{col 27}{space 2} 1.322355{col 38}{space 1}   -3.96{col 47}{space 3}0.000{col 55}{space 4}-7.834815{col 68}{space 3}-2.645393
{txt}{space 10}92  {c |}{col 15}{res}{space 2}-4.977286{col 27}{space 2} 1.271902{col 38}{space 1}   -3.91{col 47}{space 3}0.000{col 55}{space 4}-7.472999{col 68}{space 3}-2.481572
{txt}{space 10}93  {c |}{col 15}{res}{space 2}-5.062947{col 27}{space 2} 1.421591{col 38}{space 1}   -3.56{col 47}{space 3}0.000{col 55}{space 4}-7.852378{col 68}{space 3}-2.273516
{txt}{space 10}94  {c |}{col 15}{res}{space 2}-4.814664{col 27}{space 2} 1.354695{col 38}{space 1}   -3.55{col 47}{space 3}0.000{col 55}{space 4}-7.472833{col 68}{space 3}-2.156495
{txt}{space 10}95  {c |}{col 15}{res}{space 2}-4.649688{col 27}{space 2} 1.530077{col 38}{space 1}   -3.04{col 47}{space 3}0.002{col 55}{space 4}-7.651989{col 68}{space 3}-1.647386
{txt}{space 9}100  {c |}{col 15}{res}{space 2}-4.326712{col 27}{space 2} .8287939{col 38}{space 1}   -5.22{col 47}{space 3}0.000{col 55}{space 4}-5.952963{col 68}{space 3}-2.700461
{txt}{space 9}101  {c |}{col 15}{res}{space 2}-4.026716{col 27}{space 2} .8191154{col 38}{space 1}   -4.92{col 47}{space 3}0.000{col 55}{space 4}-5.633976{col 68}{space 3}-2.419456
{txt}{space 9}130  {c |}{col 15}{res}{space 2}-5.009879{col 27}{space 2} 1.035343{col 38}{space 1}   -4.84{col 47}{space 3}0.000{col 55}{space 4}-7.041418{col 68}{space 3} -2.97834
{txt}{space 9}135  {c |}{col 15}{res}{space 2}-4.725762{col 27}{space 2} .8999098{col 38}{space 1}   -5.25{col 47}{space 3}0.000{col 55}{space 4}-6.491556{col 68}{space 3}-2.959968
{txt}{space 9}140  {c |}{col 15}{res}{space 2}-2.965326{col 27}{space 2} .4822329{col 38}{space 1}   -6.15{col 47}{space 3}0.000{col 55}{space 4}-3.911559{col 68}{space 3}-2.019094
{txt}{space 9}145  {c |}{col 15}{res}{space 2}-4.482202{col 27}{space 2} 1.315076{col 38}{space 1}   -3.41{col 47}{space 3}0.001{col 55}{space 4} -7.06263{col 68}{space 3}-1.901773
{txt}{space 9}150  {c |}{col 15}{res}{space 2}-4.618689{col 27}{space 2} 1.280999{col 38}{space 1}   -3.61{col 47}{space 3}0.000{col 55}{space 4}-7.132252{col 68}{space 3}-2.105125
{txt}{space 9}155  {c |}{col 15}{res}{space 2} -4.24528{col 27}{space 2} 1.005064{col 38}{space 1}   -4.22{col 47}{space 3}0.000{col 55}{space 4}-6.217407{col 68}{space 3}-2.273153
{txt}{space 9}160  {c |}{col 15}{res}{space 2} -3.56445{col 27}{space 2} .7394612{col 38}{space 1}   -4.82{col 47}{space 3}0.000{col 55}{space 4}-5.015413{col 68}{space 3}-2.113487
{txt}{space 9}165  {c |}{col 15}{res}{space 2}-4.045568{col 27}{space 2} 1.381741{col 38}{space 1}   -2.93{col 47}{space 3}0.003{col 55}{space 4}-6.756806{col 68}{space 3} -1.33433
{txt}{space 9}200  {c |}{col 15}{res}{space 2} .8831203{col 27}{space 2} .6138218{col 38}{space 1}    1.44{col 47}{space 3}0.151{col 55}{space 4}-.3213145{col 68}{space 3} 2.087555
{txt}{space 9}205  {c |}{col 15}{res}{space 2} -2.76882{col 27}{space 2} 1.385601{col 38}{space 1}   -2.00{col 47}{space 3}0.046{col 55}{space 4}-5.487632{col 68}{space 3}-.0500088
{txt}{space 9}210  {c |}{col 15}{res}{space 2}-2.009527{col 27}{space 2}  .928472{col 38}{space 1}   -2.16{col 47}{space 3}0.031{col 55}{space 4}-3.831365{col 68}{space 3}-.1876884
{txt}{space 9}211  {c |}{col 15}{res}{space 2}-2.421622{col 27}{space 2} 1.004791{col 38}{space 1}   -2.41{col 47}{space 3}0.016{col 55}{space 4}-4.393212{col 68}{space 3}-.4500311
{txt}{space 9}220  {c |}{col 15}{res}{space 2}-1.094339{col 27}{space 2} .5695028{col 38}{space 1}   -1.92{col 47}{space 3}0.055{col 55}{space 4}-2.211811{col 68}{space 3} .0231339
{txt}{space 9}225  {c |}{col 15}{res}{space 2} -2.19647{col 27}{space 2} 1.117098{col 38}{space 1}   -1.97{col 47}{space 3}0.050{col 55}{space 4}-4.388427{col 68}{space 3}-.0045117
{txt}{space 9}230  {c |}{col 15}{res}{space 2} .6294796{col 27}{space 2} .6917705{col 38}{space 1}    0.91{col 47}{space 3}0.363{col 55}{space 4}-.7279055{col 68}{space 3} 1.986865
{txt}{space 9}235  {c |}{col 15}{res}{space 2}-3.106348{col 27}{space 2} 1.038045{col 38}{space 1}   -2.99{col 47}{space 3}0.003{col 55}{space 4}-5.143189{col 68}{space 3}-1.069508
{txt}{space 9}290  {c |}{col 15}{res}{space 2}-3.630063{col 27}{space 2} .6921399{col 38}{space 1}   -5.24{col 47}{space 3}0.000{col 55}{space 4}-4.988173{col 68}{space 3}-2.271953
{txt}{space 9}305  {c |}{col 15}{res}{space 2}-2.302533{col 27}{space 2} 1.072101{col 38}{space 1}   -2.15{col 47}{space 3}0.032{col 55}{space 4}-4.406198{col 68}{space 3}-.1988681
{txt}{space 9}310  {c |}{col 15}{res}{space 2}-3.747863{col 27}{space 2} 1.020214{col 38}{space 1}   -3.67{col 47}{space 3}0.000{col 55}{space 4}-5.749716{col 68}{space 3} -1.74601
{txt}{space 9}325  {c |}{col 15}{res}{space 2}-1.908854{col 27}{space 2} .5448167{col 38}{space 1}   -3.50{col 47}{space 3}0.000{col 55}{space 4}-2.977887{col 68}{space 3}  -.83982
{txt}{space 9}350  {c |}{col 15}{res}{space 2}-3.266008{col 27}{space 2} 1.083563{col 38}{space 1}   -3.01{col 47}{space 3}0.003{col 55}{space 4}-5.392163{col 68}{space 3}-1.139853
{txt}{space 9}355  {c |}{col 15}{res}{space 2}-3.863312{col 27}{space 2}  1.07999{col 38}{space 1}   -3.58{col 47}{space 3}0.000{col 55}{space 4}-5.982458{col 68}{space 3}-1.744166
{txt}{space 9}359  {c |}{col 15}{res}{space 2}-5.908066{col 27}{space 2} 1.410184{col 38}{space 1}   -4.19{col 47}{space 3}0.000{col 55}{space 4}-8.675115{col 68}{space 3}-3.141016
{txt}{space 9}360  {c |}{col 15}{res}{space 2}-4.009708{col 27}{space 2} .8256928{col 38}{space 1}   -4.86{col 47}{space 3}0.000{col 55}{space 4}-5.629874{col 68}{space 3}-2.389542
{txt}{space 9}375  {c |}{col 15}{res}{space 2}-3.500435{col 27}{space 2} 1.231281{col 38}{space 1}   -2.84{col 47}{space 3}0.005{col 55}{space 4}-5.916442{col 68}{space 3}-1.084427
{txt}{space 9}380  {c |}{col 15}{res}{space 2}-3.440621{col 27}{space 2} 1.062425{col 38}{space 1}   -3.24{col 47}{space 3}0.001{col 55}{space 4}  -5.5253{col 68}{space 3}-1.355942
{txt}{space 9}385  {c |}{col 15}{res}{space 2}-3.436276{col 27}{space 2} 1.277401{col 38}{space 1}   -2.69{col 47}{space 3}0.007{col 55}{space 4}-5.942779{col 68}{space 3}-.9297738
{txt}{space 9}390  {c |}{col 15}{res}{space 2}-3.171288{col 27}{space 2} 1.190998{col 38}{space 1}   -2.66{col 47}{space 3}0.008{col 55}{space 4}-5.508253{col 68}{space 3}-.8343234
{txt}{space 9}640  {c |}{col 15}{res}{space 2}  .639966{col 27}{space 2} .7704017{col 38}{space 1}    0.83{col 47}{space 3}0.406{col 55}{space 4}-.8717084{col 68}{space 3}  2.15164
{txt}{space 9}666  {c |}{col 15}{res}{space 2} .3534863{col 27}{space 2} 1.250354{col 38}{space 1}    0.28{col 47}{space 3}0.777{col 55}{space 4}-2.099946{col 68}{space 3} 2.806919
{txt}{space 9}740  {c |}{col 15}{res}{space 2}-1.519034{col 27}{space 2}  .317284{col 38}{space 1}   -4.79{col 47}{space 3}0.000{col 55}{space 4}-2.141605{col 68}{space 3}-.8964624
{txt}{space 9}900  {c |}{col 15}{res}{space 2}-3.228926{col 27}{space 2} .9463356{col 38}{space 1}   -3.41{col 47}{space 3}0.001{col 55}{space 4}-5.085816{col 68}{space 3}-1.372036
{txt}{space 9}920  {c |}{col 15}{res}{space 2}-3.676716{col 27}{space 2} 1.337413{col 38}{space 1}   -2.75{col 47}{space 3}0.006{col 55}{space 4}-6.300974{col 68}{space 3}-1.052457
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .2184583{col 27}{space 2} .0920184{col 38}{space 1}    2.37{col 47}{space 3}0.018{col 55}{space 4} .0379007{col 68}{space 3}  .399016
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.1828655{col 27}{space 2} .0787938{col 38}{space 1}   -2.32{col 47}{space 3}0.020{col 55}{space 4}-.3374739{col 68}{space 3}-.0282571
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.1184932{col 27}{space 2} .0978218{col 38}{space 1}   -1.21{col 47}{space 3}0.226{col 55}{space 4} -.310438{col 68}{space 3} .0734516
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}  11.4371{col 27}{space 2} 5.837687{col 38}{space 1}    1.96{col 47}{space 3}0.050{col 55}{space 4}-.0175495{col 68}{space 3} 22.89175
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_dc.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_dc.tex"'})

{com}. eststo clear
{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3  $X i.ccode i.year, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-521020.49}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-437718.62}  
Iteration 2:{space 3}log pseudolikelihood = {res:-408870.43}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-353002.86}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-198228.17}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-193728.53}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-115964.25}  
Iteration 7:{space 3}log pseudolikelihood = {res:-46425.092}  
Iteration 8:{space 3}log pseudolikelihood = {res:-14464.023}  
Iteration 9:{space 3}log pseudolikelihood = {res:-11877.413}  
Iteration 10:{space 2}log pseudolikelihood = {res:-11536.049}  
Iteration 11:{space 2}log pseudolikelihood = {res:  -11533.2}  
Iteration 12:{space 2}log pseudolikelihood = {res:-11533.197}  
Iteration 13:{space 2}log pseudolikelihood = {res:-11533.197}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3521.3623}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3235.9473}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res: -3059.443}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-3005.6102}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2751.7134}  
Iteration 5:{space 3}log pseudolikelihood = {res: -2677.414}  
Iteration 6:{space 3}log pseudolikelihood = {res: -2651.899}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2651.8141}  
Iteration 8:{space 3}log pseudolikelihood = {res: -2651.814}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}90{txt}){col 67}= {res}  43155.84
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -2651.814{txt}{col 49}Pseudo R2{col 67}= {res}    0.2469

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .3460323{col 27}{space 2} .1798187{col 38}{space 1}    1.92{col 47}{space 3}0.054{col 55}{space 4}-.0064059{col 68}{space 3} .6984706
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.3252789{col 27}{space 2} .1789495{col 38}{space 1}   -1.82{col 47}{space 3}0.069{col 55}{space 4}-.6760134{col 68}{space 3} .0254556
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .6563045{col 27}{space 2} .1855637{col 38}{space 1}    3.54{col 47}{space 3}0.000{col 55}{space 4} .2926064{col 68}{space 3} 1.020003
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .6835266{col 27}{space 2} .3736766{col 38}{space 1}    1.83{col 47}{space 3}0.067{col 55}{space 4}-.0488661{col 68}{space 3} 1.415919
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2} .0942264{col 27}{space 2} .0280114{col 38}{space 1}    3.36{col 47}{space 3}0.001{col 55}{space 4}  .039325{col 68}{space 3} .1491277
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0153947{col 27}{space 2} .0369735{col 38}{space 1}    0.42{col 47}{space 3}0.677{col 55}{space 4}-.0570719{col 68}{space 3} .0878614
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3254491{col 27}{space 2} .1193366{col 38}{space 1}    2.73{col 47}{space 3}0.006{col 55}{space 4} .0915536{col 68}{space 3} .5593446
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .2043658{col 27}{space 2} .4922664{col 38}{space 1}    0.42{col 47}{space 3}0.678{col 55}{space 4}-.7604586{col 68}{space 3}  1.16919
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}  -.42923{col 27}{space 2} .0959839{col 38}{space 1}   -4.47{col 47}{space 3}0.000{col 55}{space 4}-.6173549{col 68}{space 3} -.241105
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0210178{col 27}{space 2} .1034976{col 38}{space 1}    0.20{col 47}{space 3}0.839{col 55}{space 4}-.1818339{col 68}{space 3} .2238694
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2}  .003033{col 27}{space 2} .0006455{col 38}{space 1}    4.70{col 47}{space 3}0.000{col 55}{space 4} .0017678{col 68}{space 3} .0042983
{txt}{space 13} {c |}
{space 8}ccode {c |}
{space 10}20  {c |}{col 15}{res}{space 2}-3.145413{col 27}{space 2} 1.042148{col 38}{space 1}   -3.02{col 47}{space 3}0.003{col 55}{space 4}-5.187986{col 68}{space 3}-1.102839
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-21.10151{col 27}{space 2}  1.65814{col 38}{space 1}  -12.73{col 47}{space 3}0.000{col 55}{space 4}-24.35141{col 68}{space 3}-17.85162
{txt}{space 10}51  {c |}{col 15}{res}{space 2}-.0590421{col 27}{space 2}  1.89366{col 38}{space 1}   -0.03{col 47}{space 3}0.975{col 55}{space 4}-3.770548{col 68}{space 3} 3.652463
{txt}{space 10}52  {c |}{col 15}{res}{space 2} -19.3033{col 27}{space 2} 2.087227{col 38}{space 1}   -9.25{col 47}{space 3}0.000{col 55}{space 4}-23.39419{col 68}{space 3}-15.21241
{txt}{space 10}70  {c |}{col 15}{res}{space 2}-1.375317{col 27}{space 2} .8274443{col 38}{space 1}   -1.66{col 47}{space 3}0.096{col 55}{space 4}-2.997078{col 68}{space 3} .2464443
{txt}{space 10}90  {c |}{col 15}{res}{space 2} -19.4567{col 27}{space 2} 1.535404{col 38}{space 1}  -12.67{col 47}{space 3}0.000{col 55}{space 4}-22.46604{col 68}{space 3}-16.44736
{txt}{space 10}91  {c |}{col 15}{res}{space 2}-.4271847{col 27}{space 2} 1.681235{col 38}{space 1}   -0.25{col 47}{space 3}0.799{col 55}{space 4}-3.722345{col 68}{space 3} 2.867976
{txt}{space 10}92  {c |}{col 15}{res}{space 2} 2.024794{col 27}{space 2} 1.703006{col 38}{space 1}    1.19{col 47}{space 3}0.234{col 55}{space 4}-1.313036{col 68}{space 3} 5.362625
{txt}{space 10}93  {c |}{col 15}{res}{space 2} .4582488{col 27}{space 2} 1.835584{col 38}{space 1}    0.25{col 47}{space 3}0.803{col 55}{space 4} -3.13943{col 68}{space 3} 4.055927
{txt}{space 10}94  {c |}{col 15}{res}{space 2} .1246186{col 27}{space 2} 1.755032{col 38}{space 1}    0.07{col 47}{space 3}0.943{col 55}{space 4}-3.315181{col 68}{space 3} 3.564418
{txt}{space 10}95  {c |}{col 15}{res}{space 2} .4930599{col 27}{space 2} 1.931251{col 38}{space 1}    0.26{col 47}{space 3}0.798{col 55}{space 4}-3.292122{col 68}{space 3} 4.278242
{txt}{space 9}100  {c |}{col 15}{res}{space 2} 2.331024{col 27}{space 2} 1.003013{col 38}{space 1}    2.32{col 47}{space 3}0.020{col 55}{space 4} .3651555{col 68}{space 3} 4.296893
{txt}{space 9}101  {c |}{col 15}{res}{space 2}-.1588043{col 27}{space 2} 1.071666{col 38}{space 1}   -0.15{col 47}{space 3}0.882{col 55}{space 4}-2.259232{col 68}{space 3} 1.941623
{txt}{space 9}130  {c |}{col 15}{res}{space 2}-.2086688{col 27}{space 2} 1.320478{col 38}{space 1}   -0.16{col 47}{space 3}0.874{col 55}{space 4}-2.796758{col 68}{space 3} 2.379421
{txt}{space 9}135  {c |}{col 15}{res}{space 2} 2.411603{col 27}{space 2} 1.133586{col 38}{space 1}    2.13{col 47}{space 3}0.033{col 55}{space 4} .1898144{col 68}{space 3} 4.633391
{txt}{space 9}140  {c |}{col 15}{res}{space 2}-2.783108{col 27}{space 2} .7140513{col 38}{space 1}   -3.90{col 47}{space 3}0.000{col 55}{space 4}-4.182623{col 68}{space 3}-1.383593
{txt}{space 9}145  {c |}{col 15}{res}{space 2} .4064166{col 27}{space 2} 1.671883{col 38}{space 1}    0.24{col 47}{space 3}0.808{col 55}{space 4}-2.870413{col 68}{space 3} 3.683247
{txt}{space 9}150  {c |}{col 15}{res}{space 2}-19.06007{col 27}{space 2} 1.659573{col 38}{space 1}  -11.48{col 47}{space 3}0.000{col 55}{space 4}-22.31277{col 68}{space 3}-15.80736
{txt}{space 9}155  {c |}{col 15}{res}{space 2}-.0626355{col 27}{space 2} 1.356652{col 38}{space 1}   -0.05{col 47}{space 3}0.963{col 55}{space 4}-2.721625{col 68}{space 3} 2.596354
{txt}{space 9}160  {c |}{col 15}{res}{space 2}-.9660615{col 27}{space 2} .9754721{col 38}{space 1}   -0.99{col 47}{space 3}0.322{col 55}{space 4}-2.877952{col 68}{space 3} .9458287
{txt}{space 9}165  {c |}{col 15}{res}{space 2}-1.029787{col 27}{space 2} 1.872518{col 38}{space 1}   -0.55{col 47}{space 3}0.582{col 55}{space 4}-4.699855{col 68}{space 3}  2.64028
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.490004{col 27}{space 2} .7460742{col 38}{space 1}   -2.00{col 47}{space 3}0.046{col 55}{space 4}-2.952283{col 68}{space 3}-.0277257
{txt}{space 9}205  {c |}{col 15}{res}{space 2}-1.197994{col 27}{space 2} 1.730203{col 38}{space 1}   -0.69{col 47}{space 3}0.489{col 55}{space 4}-4.589129{col 68}{space 3} 2.193141
{txt}{space 9}210  {c |}{col 15}{res}{space 2}-.1097218{col 27}{space 2} 1.153342{col 38}{space 1}   -0.10{col 47}{space 3}0.924{col 55}{space 4}-2.370231{col 68}{space 3} 2.150787
{txt}{space 9}211  {c |}{col 15}{res}{space 2} .2785664{col 27}{space 2} 1.270936{col 38}{space 1}    0.22{col 47}{space 3}0.827{col 55}{space 4}-2.212422{col 68}{space 3} 2.769555
{txt}{space 9}220  {c |}{col 15}{res}{space 2}-1.507692{col 27}{space 2} .7118904{col 38}{space 1}   -2.12{col 47}{space 3}0.034{col 55}{space 4}-2.902972{col 68}{space 3}-.1124124
{txt}{space 9}225  {c |}{col 15}{res}{space 2}-20.48085{col 27}{space 2} 1.552617{col 38}{space 1}  -13.19{col 47}{space 3}0.000{col 55}{space 4}-23.52392{col 68}{space 3}-17.43777
{txt}{space 9}230  {c |}{col 15}{res}{space 2} 2.102268{col 27}{space 2} .8380362{col 38}{space 1}    2.51{col 47}{space 3}0.012{col 55}{space 4} .4597476{col 68}{space 3} 3.744789
{txt}{space 9}235  {c |}{col 15}{res}{space 2} .3109174{col 27}{space 2} 1.300339{col 38}{space 1}    0.24{col 47}{space 3}0.811{col 55}{space 4}  -2.2377{col 68}{space 3} 2.859534
{txt}{space 9}290  {c |}{col 15}{res}{space 2}-19.93804{col 27}{space 2}  1.18715{col 38}{space 1}  -16.79{col 47}{space 3}0.000{col 55}{space 4}-22.26481{col 68}{space 3}-17.61127
{txt}{space 9}305  {c |}{col 15}{res}{space 2} .0696813{col 27}{space 2} 1.347914{col 38}{space 1}    0.05{col 47}{space 3}0.959{col 55}{space 4}-2.572181{col 68}{space 3} 2.711543
{txt}{space 9}310  {c |}{col 15}{res}{space 2}-18.78319{col 27}{space 2} 1.382528{col 38}{space 1}  -13.59{col 47}{space 3}0.000{col 55}{space 4} -21.4929{col 68}{space 3}-16.07349
{txt}{space 9}325  {c |}{col 15}{res}{space 2} .5789497{col 27}{space 2}  .678538{col 38}{space 1}    0.85{col 47}{space 3}0.394{col 55}{space 4}-.7509604{col 68}{space 3}  1.90886
{txt}{space 9}350  {c |}{col 15}{res}{space 2} 2.061356{col 27}{space 2}  1.32807{col 38}{space 1}    1.55{col 47}{space 3}0.121{col 55}{space 4}-.5416133{col 68}{space 3} 4.664326
{txt}{space 9}355  {c |}{col 15}{res}{space 2}-18.57078{col 27}{space 2} 1.446037{col 38}{space 1}  -12.84{col 47}{space 3}0.000{col 55}{space 4}-21.40496{col 68}{space 3} -15.7366
{txt}{space 9}359  {c |}{col 15}{res}{space 2}-19.18903{col 27}{space 2}  2.20043{col 38}{space 1}   -8.72{col 47}{space 3}0.000{col 55}{space 4} -23.5018{col 68}{space 3}-14.87627
{txt}{space 9}360  {c |}{col 15}{res}{space 2}-19.49086{col 27}{space 2} 1.181568{col 38}{space 1}  -16.50{col 47}{space 3}0.000{col 55}{space 4}-21.80669{col 68}{space 3}-17.17503
{txt}{space 9}375  {c |}{col 15}{res}{space 2}-3.423506{col 27}{space 2} 1.674483{col 38}{space 1}   -2.04{col 47}{space 3}0.041{col 55}{space 4}-6.705433{col 68}{space 3}-.1415799
{txt}{space 9}380  {c |}{col 15}{res}{space 2}  -2.6186{col 27}{space 2} 1.378524{col 38}{space 1}   -1.90{col 47}{space 3}0.057{col 55}{space 4}-5.320456{col 68}{space 3} .0832569
{txt}{space 9}385  {c |}{col 15}{res}{space 2}-3.190631{col 27}{space 2} 1.595315{col 38}{space 1}   -2.00{col 47}{space 3}0.046{col 55}{space 4}-6.317391{col 68}{space 3}-.0638706
{txt}{space 9}390  {c |}{col 15}{res}{space 2}-.9945305{col 27}{space 2} 1.506453{col 38}{space 1}   -0.66{col 47}{space 3}0.509{col 55}{space 4}-3.947125{col 68}{space 3} 1.958063
{txt}{space 9}640  {c |}{col 15}{res}{space 2} 1.350464{col 27}{space 2} .9565696{col 38}{space 1}    1.41{col 47}{space 3}0.158{col 55}{space 4} -.524378{col 68}{space 3} 3.225306
{txt}{space 9}666  {c |}{col 15}{res}{space 2} .5674992{col 27}{space 2} 1.584916{col 38}{space 1}    0.36{col 47}{space 3}0.720{col 55}{space 4}-2.538879{col 68}{space 3} 3.673878
{txt}{space 9}740  {c |}{col 15}{res}{space 2}-.3719576{col 27}{space 2} .4520437{col 38}{space 1}   -0.82{col 47}{space 3}0.411{col 55}{space 4}-1.257947{col 68}{space 3} .5140316
{txt}{space 9}900  {c |}{col 15}{res}{space 2}-4.127439{col 27}{space 2} 1.242578{col 38}{space 1}   -3.32{col 47}{space 3}0.001{col 55}{space 4}-6.562847{col 68}{space 3} -1.69203
{txt}{space 9}920  {c |}{col 15}{res}{space 2}  -19.217{col 27}{space 2} 1.670124{col 38}{space 1}  -11.51{col 47}{space 3}0.000{col 55}{space 4}-22.49039{col 68}{space 3}-15.94362
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1973  {c |}{col 15}{res}{space 2} .4868215{col 27}{space 2} .3161221{col 38}{space 1}    1.54{col 47}{space 3}0.124{col 55}{space 4}-.1327664{col 68}{space 3} 1.106409
{txt}{space 8}1974  {c |}{col 15}{res}{space 2} .3933234{col 27}{space 2} .3540718{col 38}{space 1}    1.11{col 47}{space 3}0.267{col 55}{space 4}-.3006446{col 68}{space 3} 1.087291
{txt}{space 8}1975  {c |}{col 15}{res}{space 2} .4562347{col 27}{space 2} .4333088{col 38}{space 1}    1.05{col 47}{space 3}0.292{col 55}{space 4} -.393035{col 68}{space 3} 1.305504
{txt}{space 8}1976  {c |}{col 15}{res}{space 2} .6290799{col 27}{space 2}  .407854{col 38}{space 1}    1.54{col 47}{space 3}0.123{col 55}{space 4}-.1702993{col 68}{space 3} 1.428459
{txt}{space 8}1977  {c |}{col 15}{res}{space 2} .3878485{col 27}{space 2} .3163891{col 38}{space 1}    1.23{col 47}{space 3}0.220{col 55}{space 4}-.2322628{col 68}{space 3}  1.00796
{txt}{space 8}1978  {c |}{col 15}{res}{space 2} .4053337{col 27}{space 2}  .309303{col 38}{space 1}    1.31{col 47}{space 3}0.190{col 55}{space 4}-.2008891{col 68}{space 3} 1.011557
{txt}{space 8}1979  {c |}{col 15}{res}{space 2}  .526429{col 27}{space 2} .3281996{col 38}{space 1}    1.60{col 47}{space 3}0.109{col 55}{space 4}-.1168304{col 68}{space 3} 1.169688
{txt}{space 8}1980  {c |}{col 15}{res}{space 2} .2977959{col 27}{space 2}  .320513{col 38}{space 1}    0.93{col 47}{space 3}0.353{col 55}{space 4} -.330398{col 68}{space 3} .9259898
{txt}{space 8}1981  {c |}{col 15}{res}{space 2} .3920694{col 27}{space 2} .3191149{col 38}{space 1}    1.23{col 47}{space 3}0.219{col 55}{space 4}-.2333843{col 68}{space 3} 1.017523
{txt}{space 8}1982  {c |}{col 15}{res}{space 2} .4198535{col 27}{space 2} .3665787{col 38}{space 1}    1.15{col 47}{space 3}0.252{col 55}{space 4}-.2986275{col 68}{space 3} 1.138335
{txt}{space 8}1983  {c |}{col 15}{res}{space 2} .2555934{col 27}{space 2} .3597973{col 38}{space 1}    0.71{col 47}{space 3}0.477{col 55}{space 4}-.4495963{col 68}{space 3} .9607831
{txt}{space 8}1984  {c |}{col 15}{res}{space 2} .1140221{col 27}{space 2} .3308714{col 38}{space 1}    0.34{col 47}{space 3}0.730{col 55}{space 4} -.534474{col 68}{space 3} .7625182
{txt}{space 8}1985  {c |}{col 15}{res}{space 2} -.252099{col 27}{space 2} .3110481{col 38}{space 1}   -0.81{col 47}{space 3}0.418{col 55}{space 4}-.8617421{col 68}{space 3}  .357544
{txt}{space 8}1986  {c |}{col 15}{res}{space 2}-.1799613{col 27}{space 2} .3252972{col 38}{space 1}   -0.55{col 47}{space 3}0.580{col 55}{space 4}-.8175321{col 68}{space 3} .4576095
{txt}{space 8}1987  {c |}{col 15}{res}{space 2}-.0343612{col 27}{space 2} .3681268{col 38}{space 1}   -0.09{col 47}{space 3}0.926{col 55}{space 4}-.7558764{col 68}{space 3}  .687154
{txt}{space 8}1988  {c |}{col 15}{res}{space 2} .1730042{col 27}{space 2} .3784685{col 38}{space 1}    0.46{col 47}{space 3}0.648{col 55}{space 4}-.5687804{col 68}{space 3} .9147887
{txt}{space 8}1989  {c |}{col 15}{res}{space 2} .3347388{col 27}{space 2} .3487872{col 38}{space 1}    0.96{col 47}{space 3}0.337{col 55}{space 4}-.3488716{col 68}{space 3} 1.018349
{txt}{space 8}1990  {c |}{col 15}{res}{space 2} .1132508{col 27}{space 2} .3458046{col 38}{space 1}    0.33{col 47}{space 3}0.743{col 55}{space 4}-.5645137{col 68}{space 3} .7910153
{txt}{space 8}1991  {c |}{col 15}{res}{space 2}-.0588138{col 27}{space 2} .3517567{col 38}{space 1}   -0.17{col 47}{space 3}0.867{col 55}{space 4}-.7482441{col 68}{space 3} .6306166
{txt}{space 8}1992  {c |}{col 15}{res}{space 2}-.8621785{col 27}{space 2} .4218126{col 38}{space 1}   -2.04{col 47}{space 3}0.041{col 55}{space 4}-1.688916{col 68}{space 3} -.035441
{txt}{space 8}1993  {c |}{col 15}{res}{space 2}-.7164509{col 27}{space 2} .3945431{col 38}{space 1}   -1.82{col 47}{space 3}0.069{col 55}{space 4}-1.489741{col 68}{space 3} .0568393
{txt}{space 8}1994  {c |}{col 15}{res}{space 2}-.6267109{col 27}{space 2} .3791485{col 38}{space 1}   -1.65{col 47}{space 3}0.098{col 55}{space 4}-1.369828{col 68}{space 3} .1164066
{txt}{space 8}1995  {c |}{col 15}{res}{space 2}-1.382924{col 27}{space 2} .3880581{col 38}{space 1}   -3.56{col 47}{space 3}0.000{col 55}{space 4}-2.143504{col 68}{space 3}-.6223439
{txt}{space 8}1996  {c |}{col 15}{res}{space 2}-1.531865{col 27}{space 2} .4051175{col 38}{space 1}   -3.78{col 47}{space 3}0.000{col 55}{space 4}-2.325881{col 68}{space 3}-.7378497
{txt}{space 8}1997  {c |}{col 15}{res}{space 2}-2.128602{col 27}{space 2} .3976506{col 38}{space 1}   -5.35{col 47}{space 3}0.000{col 55}{space 4}-2.907983{col 68}{space 3}-1.349221
{txt}{space 8}1998  {c |}{col 15}{res}{space 2}-2.197097{col 27}{space 2} .3816606{col 38}{space 1}   -5.76{col 47}{space 3}0.000{col 55}{space 4}-2.945138{col 68}{space 3}-1.449056
{txt}{space 8}1999  {c |}{col 15}{res}{space 2}-2.200068{col 27}{space 2} .4198399{col 38}{space 1}   -5.24{col 47}{space 3}0.000{col 55}{space 4}-3.022939{col 68}{space 3}-1.377196
{txt}{space 8}2000  {c |}{col 15}{res}{space 2}-2.388115{col 27}{space 2} .4104606{col 38}{space 1}   -5.82{col 47}{space 3}0.000{col 55}{space 4}-3.192603{col 68}{space 3}-1.583627
{txt}{space 8}2001  {c |}{col 15}{res}{space 2}-2.905439{col 27}{space 2} .4294608{col 38}{space 1}   -6.77{col 47}{space 3}0.000{col 55}{space 4}-3.747167{col 68}{space 3}-2.063712
{txt}{space 8}2002  {c |}{col 15}{res}{space 2}-2.581818{col 27}{space 2} .4018266{col 38}{space 1}   -6.43{col 47}{space 3}0.000{col 55}{space 4}-3.369383{col 68}{space 3}-1.794252
{txt}{space 8}2003  {c |}{col 15}{res}{space 2}-2.520467{col 27}{space 2} .4152826{col 38}{space 1}   -6.07{col 47}{space 3}0.000{col 55}{space 4}-3.334406{col 68}{space 3}-1.706528
{txt}{space 8}2004  {c |}{col 15}{res}{space 2}-2.315927{col 27}{space 2} .4239596{col 38}{space 1}   -5.46{col 47}{space 3}0.000{col 55}{space 4}-3.146872{col 68}{space 3}-1.484981
{txt}{space 8}2005  {c |}{col 15}{res}{space 2}-1.975823{col 27}{space 2}  .466404{col 38}{space 1}   -4.24{col 47}{space 3}0.000{col 55}{space 4}-2.889958{col 68}{space 3}-1.061688
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-7.082965{col 27}{space 2} 7.321122{col 38}{space 1}   -0.97{col 47}{space 3}0.333{col 55}{space 4} -21.4321{col 68}{space 3} 7.266171
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2}-.0637524{col 27}{space 2}  .066971{col 55}{space 4}-.1950131{col 68}{space 3} .0675084
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} .9382373{col 27}{space 2} .0628347{col 55}{space 4} .8228238{col 68}{space 3} 1.069839
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3  $X i.ccode i.year, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-72462.784}  
Iteration 1:{space 3}log pseudolikelihood = {res:-51530.294}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-26082.372}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11104.642}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3795.2795}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3533.3378}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3530.4253}  
Iteration 7:{space 3}log pseudolikelihood = {res:-3530.4065}  
Iteration 8:{space 3}log pseudolikelihood = {res:-3530.4021}  
Iteration 9:{space 3}log pseudolikelihood = {res:-3530.4011}  
Iteration 10:{space 2}log pseudolikelihood = {res:-3530.4009}  
Iteration 11:{space 2}log pseudolikelihood = {res:-3530.4009}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2387.9311}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2114.3224}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-2104.2538}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-1894.2544}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1772.0861}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1746.9191}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res: -1668.016}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-1649.1622}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1623.3581}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1609.3805}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1608.8826}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1608.8812}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1608.8812}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}90{txt}){col 67}= {res} 144312.99
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1608.8812{txt}{col 49}Pseudo R2{col 67}= {res}    0.3262

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-1.535429{col 27}{space 2} .2353128{col 38}{space 1}   -6.53{col 47}{space 3}0.000{col 55}{space 4}-1.996633{col 68}{space 3}-1.074224
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.221578{col 27}{space 2} .2281024{col 38}{space 1}    5.36{col 47}{space 3}0.000{col 55}{space 4} .7745055{col 68}{space 3}  1.66865
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .8401277{col 27}{space 2} .1835475{col 38}{space 1}    4.58{col 47}{space 3}0.000{col 55}{space 4} .4803813{col 68}{space 3} 1.199874
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}-.6805202{col 27}{space 2} .7308292{col 38}{space 1}   -0.93{col 47}{space 3}0.352{col 55}{space 4}-2.112919{col 68}{space 3} .7518788
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0263133{col 27}{space 2} .0362984{col 38}{space 1}   -0.72{col 47}{space 3}0.469{col 55}{space 4}-.0974568{col 68}{space 3} .0448303
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0028775{col 27}{space 2} .0611314{col 38}{space 1}   -0.05{col 47}{space 3}0.962{col 55}{space 4}-.1226928{col 68}{space 3} .1169378
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .1415577{col 27}{space 2} .1220106{col 38}{space 1}    1.16{col 47}{space 3}0.246{col 55}{space 4}-.0975787{col 68}{space 3} .3806941
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.4639064{col 27}{space 2} .5743919{col 38}{space 1}   -0.81{col 47}{space 3}0.419{col 55}{space 4}-1.589694{col 68}{space 3} .6618811
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0703386{col 27}{space 2} .1148168{col 38}{space 1}    0.61{col 47}{space 3}0.540{col 55}{space 4}-.1546981{col 68}{space 3} .2953753
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.1096101{col 27}{space 2} .1162203{col 38}{space 1}   -0.94{col 47}{space 3}0.346{col 55}{space 4}-.3373977{col 68}{space 3} .1181775
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0020712{col 27}{space 2} .0006296{col 38}{space 1}    3.29{col 47}{space 3}0.001{col 55}{space 4} .0008372{col 68}{space 3} .0033052
{txt}{space 13} {c |}
{space 8}ccode {c |}
{space 10}20  {c |}{col 15}{res}{space 2}-7.424891{col 27}{space 2} 1.901534{col 38}{space 1}   -3.90{col 47}{space 3}0.000{col 55}{space 4}-11.15183{col 68}{space 3}-3.697952
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-36.07041{col 27}{space 2} 3.175542{col 38}{space 1}  -11.36{col 47}{space 3}0.000{col 55}{space 4}-42.29436{col 68}{space 3}-29.84646
{txt}{space 10}51  {c |}{col 15}{res}{space 2}-32.55308{col 27}{space 2} 3.537457{col 38}{space 1}   -9.20{col 47}{space 3}0.000{col 55}{space 4}-39.48637{col 68}{space 3}-25.61979
{txt}{space 10}52  {c |}{col 15}{res}{space 2}-36.58374{col 27}{space 2} 4.025985{col 38}{space 1}   -9.09{col 47}{space 3}0.000{col 55}{space 4}-44.47453{col 68}{space 3}-28.69295
{txt}{space 10}70  {c |}{col 15}{res}{space 2}-29.32371{col 27}{space 2}  1.44124{col 38}{space 1}  -20.35{col 47}{space 3}0.000{col 55}{space 4}-32.14849{col 68}{space 3}-26.49893
{txt}{space 10}90  {c |}{col 15}{res}{space 2} -34.2312{col 27}{space 2} 2.780694{col 38}{space 1}  -12.31{col 47}{space 3}0.000{col 55}{space 4}-39.68126{col 68}{space 3}-28.78114
{txt}{space 10}91  {c |}{col 15}{res}{space 2} -35.1962{col 27}{space 2} 3.196819{col 38}{space 1}  -11.01{col 47}{space 3}0.000{col 55}{space 4}-41.46185{col 68}{space 3}-28.93055
{txt}{space 10}92  {c |}{col 15}{res}{space 2}-28.38344{col 27}{space 2} 3.103131{col 38}{space 1}   -9.15{col 47}{space 3}0.000{col 55}{space 4}-34.46547{col 68}{space 3}-22.30142
{txt}{space 10}93  {c |}{col 15}{res}{space 2}-9.616485{col 27}{space 2} 3.510015{col 38}{space 1}   -2.74{col 47}{space 3}0.006{col 55}{space 4}-16.49599{col 68}{space 3}-2.736982
{txt}{space 10}94  {c |}{col 15}{res}{space 2}-35.86568{col 27}{space 2} 3.254098{col 38}{space 1}  -11.02{col 47}{space 3}0.000{col 55}{space 4}-42.24359{col 68}{space 3}-29.48776
{txt}{space 10}95  {c |}{col 15}{res}{space 2}-7.823085{col 27}{space 2} 3.671048{col 38}{space 1}   -2.13{col 47}{space 3}0.033{col 55}{space 4}-15.01821{col 68}{space 3}-.6279628
{txt}{space 9}100  {c |}{col 15}{res}{space 2}-7.663182{col 27}{space 2} 1.848685{col 38}{space 1}   -4.15{col 47}{space 3}0.000{col 55}{space 4}-11.28654{col 68}{space 3}-4.039825
{txt}{space 9}101  {c |}{col 15}{res}{space 2}-33.00485{col 27}{space 2} 1.909495{col 38}{space 1}  -17.28{col 47}{space 3}0.000{col 55}{space 4}-36.74739{col 68}{space 3}-29.26231
{txt}{space 9}130  {c |}{col 15}{res}{space 2}-10.17167{col 27}{space 2} 2.471446{col 38}{space 1}   -4.12{col 47}{space 3}0.000{col 55}{space 4}-15.01561{col 68}{space 3}-5.327721
{txt}{space 9}135  {c |}{col 15}{res}{space 2}-7.640353{col 27}{space 2} 2.178514{col 38}{space 1}   -3.51{col 47}{space 3}0.000{col 55}{space 4}-11.91016{col 68}{space 3}-3.370543
{txt}{space 9}140  {c |}{col 15}{res}{space 2}-6.257345{col 27}{space 2} 1.058294{col 38}{space 1}   -5.91{col 47}{space 3}0.000{col 55}{space 4}-8.331564{col 68}{space 3}-4.183126
{txt}{space 9}145  {c |}{col 15}{res}{space 2}-6.718683{col 27}{space 2} 3.056109{col 38}{space 1}   -2.20{col 47}{space 3}0.028{col 55}{space 4}-12.70855{col 68}{space 3}-.7288188
{txt}{space 9}150  {c |}{col 15}{res}{space 2}-33.37666{col 27}{space 2} 3.096691{col 38}{space 1}  -10.78{col 47}{space 3}0.000{col 55}{space 4}-39.44607{col 68}{space 3}-27.30726
{txt}{space 9}155  {c |}{col 15}{res}{space 2} -8.87451{col 27}{space 2} 2.531682{col 38}{space 1}   -3.51{col 47}{space 3}0.000{col 55}{space 4}-13.83652{col 68}{space 3}-3.912504
{txt}{space 9}160  {c |}{col 15}{res}{space 2} -7.15765{col 27}{space 2} 1.900038{col 38}{space 1}   -3.77{col 47}{space 3}0.000{col 55}{space 4}-10.88166{col 68}{space 3}-3.433644
{txt}{space 9}165  {c |}{col 15}{res}{space 2}-34.33158{col 27}{space 2} 3.329659{col 38}{space 1}  -10.31{col 47}{space 3}0.000{col 55}{space 4}-40.85759{col 68}{space 3}-27.80557
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-2.285107{col 27}{space 2} 1.209814{col 38}{space 1}   -1.89{col 47}{space 3}0.059{col 55}{space 4}-4.656298{col 68}{space 3} .0860843
{txt}{space 9}205  {c |}{col 15}{res}{space 2}-6.740912{col 27}{space 2} 3.242253{col 38}{space 1}   -2.08{col 47}{space 3}0.038{col 55}{space 4}-13.09561{col 68}{space 3}-.3862132
{txt}{space 9}210  {c |}{col 15}{res}{space 2}-5.008857{col 27}{space 2} 2.169869{col 38}{space 1}   -2.31{col 47}{space 3}0.021{col 55}{space 4}-9.261722{col 68}{space 3}-.7559906
{txt}{space 9}211  {c |}{col 15}{res}{space 2}-4.966107{col 27}{space 2} 2.368898{col 38}{space 1}   -2.10{col 47}{space 3}0.036{col 55}{space 4}-9.609062{col 68}{space 3}-.3231515
{txt}{space 9}220  {c |}{col 15}{res}{space 2}-1.667656{col 27}{space 2} 1.225328{col 38}{space 1}   -1.36{col 47}{space 3}0.174{col 55}{space 4}-4.069255{col 68}{space 3} .7339437
{txt}{space 9}225  {c |}{col 15}{res}{space 2}-7.221043{col 27}{space 2} 2.763199{col 38}{space 1}   -2.61{col 47}{space 3}0.009{col 55}{space 4}-12.63681{col 68}{space 3}-1.805273
{txt}{space 9}230  {c |}{col 15}{res}{space 2}-1.643372{col 27}{space 2} 1.487217{col 38}{space 1}   -1.10{col 47}{space 3}0.269{col 55}{space 4}-4.558265{col 68}{space 3}  1.27152
{txt}{space 9}235  {c |}{col 15}{res}{space 2}-7.312508{col 27}{space 2} 2.401346{col 38}{space 1}   -3.05{col 47}{space 3}0.002{col 55}{space 4}-12.01906{col 68}{space 3}-2.605956
{txt}{space 9}290  {c |}{col 15}{res}{space 2}-33.34391{col 27}{space 2}  1.76605{col 38}{space 1}  -18.88{col 47}{space 3}0.000{col 55}{space 4}-36.80531{col 68}{space 3}-29.88251
{txt}{space 9}305  {c |}{col 15}{res}{space 2}-5.521687{col 27}{space 2} 2.536425{col 38}{space 1}   -2.18{col 47}{space 3}0.029{col 55}{space 4}-10.49299{col 68}{space 3}-.5503848
{txt}{space 9}310  {c |}{col 15}{res}{space 2}-33.47891{col 27}{space 2} 2.499093{col 38}{space 1}  -13.40{col 47}{space 3}0.000{col 55}{space 4}-38.37704{col 68}{space 3}-28.58078
{txt}{space 9}325  {c |}{col 15}{res}{space 2}  -4.3212{col 27}{space 2}  1.15818{col 38}{space 1}   -3.73{col 47}{space 3}0.000{col 55}{space 4}-6.591192{col 68}{space 3}-2.051209
{txt}{space 9}350  {c |}{col 15}{res}{space 2}-7.385492{col 27}{space 2} 2.436928{col 38}{space 1}   -3.03{col 47}{space 3}0.002{col 55}{space 4}-12.16178{col 68}{space 3}-2.609202
{txt}{space 9}355  {c |}{col 15}{res}{space 2} -30.1698{col 27}{space 2} 2.667439{col 38}{space 1}  -11.31{col 47}{space 3}0.000{col 55}{space 4}-35.39789{col 68}{space 3}-24.94172
{txt}{space 9}359  {c |}{col 15}{res}{space 2}-35.54691{col 27}{space 2}  3.77365{col 38}{space 1}   -9.42{col 47}{space 3}0.000{col 55}{space 4}-42.94312{col 68}{space 3}-28.15069
{txt}{space 9}360  {c |}{col 15}{res}{space 2}-32.27588{col 27}{space 2} 2.067012{col 38}{space 1}  -15.61{col 47}{space 3}0.000{col 55}{space 4}-36.32715{col 68}{space 3}-28.22461
{txt}{space 9}375  {c |}{col 15}{res}{space 2}-10.59166{col 27}{space 2} 3.059975{col 38}{space 1}   -3.46{col 47}{space 3}0.001{col 55}{space 4} -16.5891{col 68}{space 3}-4.594217
{txt}{space 9}380  {c |}{col 15}{res}{space 2}-9.016845{col 27}{space 2} 2.527541{col 38}{space 1}   -3.57{col 47}{space 3}0.000{col 55}{space 4}-13.97073{col 68}{space 3}-4.062955
{txt}{space 9}385  {c |}{col 15}{res}{space 2}-9.518652{col 27}{space 2} 3.024192{col 38}{space 1}   -3.15{col 47}{space 3}0.002{col 55}{space 4}-15.44596{col 68}{space 3}-3.591345
{txt}{space 9}390  {c |}{col 15}{res}{space 2}-6.951948{col 27}{space 2} 2.858032{col 38}{space 1}   -2.43{col 47}{space 3}0.015{col 55}{space 4}-12.55359{col 68}{space 3}-1.350309
{txt}{space 9}640  {c |}{col 15}{res}{space 2}-2.737097{col 27}{space 2} 1.712406{col 38}{space 1}   -1.60{col 47}{space 3}0.110{col 55}{space 4}-6.093351{col 68}{space 3} .6191564
{txt}{space 9}666  {c |}{col 15}{res}{space 2}-3.855704{col 27}{space 2} 2.974417{col 38}{space 1}   -1.30{col 47}{space 3}0.195{col 55}{space 4}-9.685453{col 68}{space 3} 1.974045
{txt}{space 9}740  {c |}{col 15}{res}{space 2}-5.281179{col 27}{space 2} .7309106{col 38}{space 1}   -7.23{col 47}{space 3}0.000{col 55}{space 4}-6.713737{col 68}{space 3} -3.84862
{txt}{space 9}900  {c |}{col 15}{res}{space 2}-8.990402{col 27}{space 2} 2.196782{col 38}{space 1}   -4.09{col 47}{space 3}0.000{col 55}{space 4}-13.29602{col 68}{space 3}-4.684788
{txt}{space 9}920  {c |}{col 15}{res}{space 2}-33.48025{col 27}{space 2} 3.202171{col 38}{space 1}  -10.46{col 47}{space 3}0.000{col 55}{space 4}-39.75638{col 68}{space 3}-27.20411
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1973  {c |}{col 15}{res}{space 2} .1581845{col 27}{space 2} .5026144{col 38}{space 1}    0.31{col 47}{space 3}0.753{col 55}{space 4}-.8269216{col 68}{space 3} 1.143291
{txt}{space 8}1974  {c |}{col 15}{res}{space 2}  .578718{col 27}{space 2} .4919586{col 38}{space 1}    1.18{col 47}{space 3}0.239{col 55}{space 4}-.3855032{col 68}{space 3} 1.542939
{txt}{space 8}1975  {c |}{col 15}{res}{space 2} .5738324{col 27}{space 2} .4443416{col 38}{space 1}    1.29{col 47}{space 3}0.197{col 55}{space 4}-.2970612{col 68}{space 3} 1.444726
{txt}{space 8}1976  {c |}{col 15}{res}{space 2} 1.027104{col 27}{space 2} .3960579{col 38}{space 1}    2.59{col 47}{space 3}0.010{col 55}{space 4} .2508448{col 68}{space 3} 1.803363
{txt}{space 8}1977  {c |}{col 15}{res}{space 2} 1.288413{col 27}{space 2} .4023649{col 38}{space 1}    3.20{col 47}{space 3}0.001{col 55}{space 4} .4997926{col 68}{space 3} 2.077034
{txt}{space 8}1978  {c |}{col 15}{res}{space 2} 1.371016{col 27}{space 2} .4093687{col 38}{space 1}    3.35{col 47}{space 3}0.001{col 55}{space 4}  .568668{col 68}{space 3} 2.173364
{txt}{space 8}1979  {c |}{col 15}{res}{space 2} 1.385414{col 27}{space 2} .4351089{col 38}{space 1}    3.18{col 47}{space 3}0.001{col 55}{space 4} .5326162{col 68}{space 3} 2.238212
{txt}{space 8}1980  {c |}{col 15}{res}{space 2} 1.194035{col 27}{space 2} .4386258{col 38}{space 1}    2.72{col 47}{space 3}0.006{col 55}{space 4} .3343442{col 68}{space 3} 2.053726
{txt}{space 8}1981  {c |}{col 15}{res}{space 2} .9478185{col 27}{space 2} .4350635{col 38}{space 1}    2.18{col 47}{space 3}0.029{col 55}{space 4} .0951097{col 68}{space 3} 1.800527
{txt}{space 8}1982  {c |}{col 15}{res}{space 2} .9633108{col 27}{space 2}  .448839{col 38}{space 1}    2.15{col 47}{space 3}0.032{col 55}{space 4} .0836025{col 68}{space 3} 1.843019
{txt}{space 8}1983  {c |}{col 15}{res}{space 2} .5785549{col 27}{space 2} .4550914{col 38}{space 1}    1.27{col 47}{space 3}0.204{col 55}{space 4}-.3134078{col 68}{space 3} 1.470518
{txt}{space 8}1984  {c |}{col 15}{res}{space 2} .6042573{col 27}{space 2}  .504939{col 38}{space 1}    1.20{col 47}{space 3}0.231{col 55}{space 4} -.385405{col 68}{space 3}  1.59392
{txt}{space 8}1985  {c |}{col 15}{res}{space 2} .5325202{col 27}{space 2} .4410734{col 38}{space 1}    1.21{col 47}{space 3}0.227{col 55}{space 4}-.3319679{col 68}{space 3} 1.397008
{txt}{space 8}1986  {c |}{col 15}{res}{space 2} .6557264{col 27}{space 2} .4377466{col 38}{space 1}    1.50{col 47}{space 3}0.134{col 55}{space 4}-.2022411{col 68}{space 3} 1.513694
{txt}{space 8}1987  {c |}{col 15}{res}{space 2} .4663147{col 27}{space 2} .4455557{col 38}{space 1}    1.05{col 47}{space 3}0.295{col 55}{space 4}-.4069584{col 68}{space 3} 1.339588
{txt}{space 8}1988  {c |}{col 15}{res}{space 2} 1.019477{col 27}{space 2} .4504182{col 38}{space 1}    2.26{col 47}{space 3}0.024{col 55}{space 4} .1366733{col 68}{space 3}  1.90228
{txt}{space 8}1989  {c |}{col 15}{res}{space 2} 1.515366{col 27}{space 2} .4740519{col 38}{space 1}    3.20{col 47}{space 3}0.001{col 55}{space 4} .5862412{col 68}{space 3} 2.444491
{txt}{space 8}1990  {c |}{col 15}{res}{space 2} 1.377059{col 27}{space 2} .4810982{col 38}{space 1}    2.86{col 47}{space 3}0.004{col 55}{space 4} .4341239{col 68}{space 3} 2.319994
{txt}{space 8}1991  {c |}{col 15}{res}{space 2} .9251056{col 27}{space 2} .4733289{col 38}{space 1}    1.95{col 47}{space 3}0.051{col 55}{space 4}-.0026019{col 68}{space 3} 1.852813
{txt}{space 8}1992  {c |}{col 15}{res}{space 2}-.1637877{col 27}{space 2} .4786799{col 38}{space 1}   -0.34{col 47}{space 3}0.732{col 55}{space 4}-1.101983{col 68}{space 3} .7744077
{txt}{space 8}1993  {c |}{col 15}{res}{space 2}-.2103881{col 27}{space 2} .5045532{col 38}{space 1}   -0.42{col 47}{space 3}0.677{col 55}{space 4}-1.199294{col 68}{space 3} .7785179
{txt}{space 8}1994  {c |}{col 15}{res}{space 2}-.0677008{col 27}{space 2} .5201198{col 38}{space 1}   -0.13{col 47}{space 3}0.896{col 55}{space 4}-1.087117{col 68}{space 3} .9517153
{txt}{space 8}1995  {c |}{col 15}{res}{space 2}-.2241284{col 27}{space 2} .5367772{col 38}{space 1}   -0.42{col 47}{space 3}0.676{col 55}{space 4}-1.276192{col 68}{space 3} .8279355
{txt}{space 8}1996  {c |}{col 15}{res}{space 2}-.4376096{col 27}{space 2} .5202489{col 38}{space 1}   -0.84{col 47}{space 3}0.400{col 55}{space 4}-1.457279{col 68}{space 3} .5820595
{txt}{space 8}1997  {c |}{col 15}{res}{space 2}-.6967864{col 27}{space 2} .5426498{col 38}{space 1}   -1.28{col 47}{space 3}0.199{col 55}{space 4}-1.760361{col 68}{space 3} .3667877
{txt}{space 8}1998  {c |}{col 15}{res}{space 2}-.6818834{col 27}{space 2} .5269063{col 38}{space 1}   -1.29{col 47}{space 3}0.196{col 55}{space 4}-1.714601{col 68}{space 3}  .350834
{txt}{space 8}1999  {c |}{col 15}{res}{space 2}-.7747999{col 27}{space 2} .6189073{col 38}{space 1}   -1.25{col 47}{space 3}0.211{col 55}{space 4}-1.987836{col 68}{space 3} .4382362
{txt}{space 8}2000  {c |}{col 15}{res}{space 2}-.7293858{col 27}{space 2} .6178533{col 38}{space 1}   -1.18{col 47}{space 3}0.238{col 55}{space 4}-1.940356{col 68}{space 3} .4815845
{txt}{space 8}2001  {c |}{col 15}{res}{space 2}-1.050228{col 27}{space 2} .6166836{col 38}{space 1}   -1.70{col 47}{space 3}0.089{col 55}{space 4}-2.258905{col 68}{space 3} .1584502
{txt}{space 8}2002  {c |}{col 15}{res}{space 2}-.5318674{col 27}{space 2} .5844382{col 38}{space 1}   -0.91{col 47}{space 3}0.363{col 55}{space 4}-1.677345{col 68}{space 3} .6136105
{txt}{space 8}2003  {c |}{col 15}{res}{space 2} -.721069{col 27}{space 2} .5820927{col 38}{space 1}   -1.24{col 47}{space 3}0.215{col 55}{space 4} -1.86195{col 68}{space 3} .4198117
{txt}{space 8}2004  {c |}{col 15}{res}{space 2}-.7458787{col 27}{space 2} .5941461{col 38}{space 1}   -1.26{col 47}{space 3}0.209{col 55}{space 4}-1.910384{col 68}{space 3} .4186263
{txt}{space 8}2005  {c |}{col 15}{res}{space 2}-.4747647{col 27}{space 2} .6070255{col 38}{space 1}   -0.78{col 47}{space 3}0.434{col 55}{space 4}-1.664513{col 68}{space 3} .7149833
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 16.84756{col 27}{space 2} 14.26675{col 38}{space 1}    1.18{col 47}{space 3}0.238{col 55}{space 4}-11.11475{col 68}{space 3} 44.80987
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2}-.6179518{col 27}{space 2} .1083927{col 55}{space 4}-.8303975{col 68}{space 3}-.4055061
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} .5390474{col 27}{space 2} .0584288{col 55}{space 4}  .435876{col 68}{space 3} .6666394
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3  $X i.ccode i.year, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(90, 1037)       =  {res}    61.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.8040
                                                {txt}Root MSE          =    {res} .93167

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .0894421{col 27}{space 2} .1311241{col 38}{space 1}    0.68{col 47}{space 3}0.495{col 55}{space 4}-.1678567{col 68}{space 3} .3467409
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} -.114994{col 27}{space 2} .1368005{col 38}{space 1}   -0.84{col 47}{space 3}0.401{col 55}{space 4}-.3834314{col 68}{space 3} .1534435
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3686268{col 27}{space 2} .1145147{col 38}{space 1}    3.22{col 47}{space 3}0.001{col 55}{space 4} .1439199{col 68}{space 3} .5933338
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}-.4088421{col 27}{space 2} .3762624{col 38}{space 1}   -1.09{col 47}{space 3}0.277{col 55}{space 4}-1.147165{col 68}{space 3} .3294805
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2} .0311027{col 27}{space 2} .0170701{col 38}{space 1}    1.82{col 47}{space 3}0.069{col 55}{space 4}-.0023932{col 68}{space 3} .0645985
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0390611{col 27}{space 2} .0278103{col 38}{space 1}   -1.40{col 47}{space 3}0.160{col 55}{space 4} -.093632{col 68}{space 3} .0155098
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .1186865{col 27}{space 2} .0992414{col 38}{space 1}    1.20{col 47}{space 3}0.232{col 55}{space 4}-.0760504{col 68}{space 3} .3134234
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .7403524{col 27}{space 2} .4050002{col 38}{space 1}    1.83{col 47}{space 3}0.068{col 55}{space 4}-.0543611{col 68}{space 3} 1.535066
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.2041499{col 27}{space 2} .0786147{col 38}{space 1}   -2.60{col 47}{space 3}0.010{col 55}{space 4}-.3584119{col 68}{space 3}-.0498879
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}  .210221{col 27}{space 2} .0868461{col 38}{space 1}    2.42{col 47}{space 3}0.016{col 55}{space 4} .0398069{col 68}{space 3} .3806351
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0062593{col 27}{space 2} .0008891{col 38}{space 1}    7.04{col 47}{space 3}0.000{col 55}{space 4} .0045146{col 68}{space 3}  .008004
{txt}{space 13} {c |}
{space 8}ccode {c |}
{space 10}20  {c |}{col 15}{res}{space 2}-2.302105{col 27}{space 2} .9763103{col 38}{space 1}   -2.36{col 47}{space 3}0.019{col 55}{space 4}-4.217874{col 68}{space 3}-.3863357
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-3.369732{col 27}{space 2}   1.6361{col 38}{space 1}   -2.06{col 47}{space 3}0.040{col 55}{space 4}-6.580177{col 68}{space 3}-.1592872
{txt}{space 10}51  {c |}{col 15}{res}{space 2}-1.914082{col 27}{space 2} 1.825987{col 38}{space 1}   -1.05{col 47}{space 3}0.295{col 55}{space 4}-5.497134{col 68}{space 3}  1.66897
{txt}{space 10}52  {c |}{col 15}{res}{space 2} -3.42774{col 27}{space 2} 2.083111{col 38}{space 1}   -1.65{col 47}{space 3}0.100{col 55}{space 4}-7.515333{col 68}{space 3} .6598536
{txt}{space 10}70  {c |}{col 15}{res}{space 2} -1.05636{col 27}{space 2} .7241238{col 38}{space 1}   -1.46{col 47}{space 3}0.145{col 55}{space 4}-2.477275{col 68}{space 3} .3645549
{txt}{space 10}90  {c |}{col 15}{res}{space 2}-2.154714{col 27}{space 2} 1.435371{col 38}{space 1}   -1.50{col 47}{space 3}0.134{col 55}{space 4}-4.971277{col 68}{space 3} .6618484
{txt}{space 10}91  {c |}{col 15}{res}{space 2}-1.998166{col 27}{space 2} 1.679164{col 38}{space 1}   -1.19{col 47}{space 3}0.234{col 55}{space 4}-5.293112{col 68}{space 3}  1.29678
{txt}{space 10}92  {c |}{col 15}{res}{space 2}-1.259609{col 27}{space 2} 1.681917{col 38}{space 1}   -0.75{col 47}{space 3}0.454{col 55}{space 4}-4.559957{col 68}{space 3} 2.040739
{txt}{space 10}93  {c |}{col 15}{res}{space 2}-1.667579{col 27}{space 2} 1.801566{col 38}{space 1}   -0.93{col 47}{space 3}0.355{col 55}{space 4} -5.20271{col 68}{space 3} 1.867551
{txt}{space 10}94  {c |}{col 15}{res}{space 2}-2.231533{col 27}{space 2} 1.661415{col 38}{space 1}   -1.34{col 47}{space 3}0.180{col 55}{space 4}-5.491653{col 68}{space 3} 1.028586
{txt}{space 10}95  {c |}{col 15}{res}{space 2}-1.915644{col 27}{space 2} 1.884528{col 38}{space 1}   -1.02{col 47}{space 3}0.310{col 55}{space 4}-5.613566{col 68}{space 3} 1.782279
{txt}{space 9}100  {c |}{col 15}{res}{space 2} 3.608153{col 27}{space 2} .9609384{col 38}{space 1}    3.75{col 47}{space 3}0.000{col 55}{space 4} 1.722548{col 68}{space 3} 5.493759
{txt}{space 9}101  {c |}{col 15}{res}{space 2}-.3696202{col 27}{space 2} 1.053371{col 38}{space 1}   -0.35{col 47}{space 3}0.726{col 55}{space 4}-2.436602{col 68}{space 3} 1.697361
{txt}{space 9}130  {c |}{col 15}{res}{space 2}-1.754283{col 27}{space 2} 1.287782{col 38}{space 1}   -1.36{col 47}{space 3}0.173{col 55}{space 4} -4.28124{col 68}{space 3} .7726731
{txt}{space 9}135  {c |}{col 15}{res}{space 2} 2.688217{col 27}{space 2} 1.191469{col 38}{space 1}    2.26{col 47}{space 3}0.024{col 55}{space 4} .3502526{col 68}{space 3} 5.026182
{txt}{space 9}140  {c |}{col 15}{res}{space 2} -.499343{col 27}{space 2} .6069222{col 38}{space 1}   -0.82{col 47}{space 3}0.411{col 55}{space 4}-1.690279{col 68}{space 3} .6915926
{txt}{space 9}145  {c |}{col 15}{res}{space 2}-1.826362{col 27}{space 2} 1.588258{col 38}{space 1}   -1.15{col 47}{space 3}0.250{col 55}{space 4}-4.942927{col 68}{space 3} 1.290203
{txt}{space 9}150  {c |}{col 15}{res}{space 2}-2.349314{col 27}{space 2} 1.602416{col 38}{space 1}   -1.47{col 47}{space 3}0.143{col 55}{space 4}-5.493661{col 68}{space 3} .7950325
{txt}{space 9}155  {c |}{col 15}{res}{space 2}-1.675259{col 27}{space 2} 1.272863{col 38}{space 1}   -1.32{col 47}{space 3}0.188{col 55}{space 4}-4.172941{col 68}{space 3} .8224221
{txt}{space 9}160  {c |}{col 15}{res}{space 2}-1.284479{col 27}{space 2} .9805366{col 38}{space 1}   -1.31{col 47}{space 3}0.190{col 55}{space 4}-3.208541{col 68}{space 3} .6395835
{txt}{space 9}165  {c |}{col 15}{res}{space 2}-1.916255{col 27}{space 2} 1.710616{col 38}{space 1}   -1.12{col 47}{space 3}0.263{col 55}{space 4}-5.272919{col 68}{space 3}  1.44041
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.8859383{col 27}{space 2} .6882428{col 38}{space 1}   -1.29{col 47}{space 3}0.198{col 55}{space 4}-2.236446{col 68}{space 3} .4645691
{txt}{space 9}205  {c |}{col 15}{res}{space 2}-2.390319{col 27}{space 2}   1.6754{col 38}{space 1}   -1.43{col 47}{space 3}0.154{col 55}{space 4} -5.67788{col 68}{space 3} .8972415
{txt}{space 9}210  {c |}{col 15}{res}{space 2}-1.645095{col 27}{space 2} 1.119679{col 38}{space 1}   -1.47{col 47}{space 3}0.142{col 55}{space 4}-3.842189{col 68}{space 3}  .551999
{txt}{space 9}211  {c |}{col 15}{res}{space 2}-1.834222{col 27}{space 2} 1.219631{col 38}{space 1}   -1.50{col 47}{space 3}0.133{col 55}{space 4}-4.227447{col 68}{space 3}  .559004
{txt}{space 9}220  {c |}{col 15}{res}{space 2}-.9460834{col 27}{space 2} .6788188{col 38}{space 1}   -1.39{col 47}{space 3}0.164{col 55}{space 4}-2.278098{col 68}{space 3} .3859317
{txt}{space 9}225  {c |}{col 15}{res}{space 2}-2.168391{col 27}{space 2} 1.405199{col 38}{space 1}   -1.54{col 47}{space 3}0.123{col 55}{space 4}-4.925749{col 68}{space 3} .5889676
{txt}{space 9}230  {c |}{col 15}{res}{space 2} 1.371246{col 27}{space 2} .7908763{col 38}{space 1}    1.73{col 47}{space 3}0.083{col 55}{space 4}-.1806547{col 68}{space 3} 2.923146
{txt}{space 9}235  {c |}{col 15}{res}{space 2}-1.124039{col 27}{space 2}  1.22223{col 38}{space 1}   -0.92{col 47}{space 3}0.358{col 55}{space 4}-3.522366{col 68}{space 3} 1.274288
{txt}{space 9}290  {c |}{col 15}{res}{space 2}-1.079783{col 27}{space 2} .8209082{col 38}{space 1}   -1.32{col 47}{space 3}0.189{col 55}{space 4}-2.690614{col 68}{space 3} .5310477
{txt}{space 9}305  {c |}{col 15}{res}{space 2} -1.21944{col 27}{space 2} 1.309536{col 38}{space 1}   -0.93{col 47}{space 3}0.352{col 55}{space 4}-3.789084{col 68}{space 3} 1.350203
{txt}{space 9}310  {c |}{col 15}{res}{space 2}-1.630365{col 27}{space 2}  1.27495{col 38}{space 1}   -1.28{col 47}{space 3}0.201{col 55}{space 4} -4.13214{col 68}{space 3} .8714106
{txt}{space 9}325  {c |}{col 15}{res}{space 2} .0609335{col 27}{space 2} .6662511{col 38}{space 1}    0.09{col 47}{space 3}0.927{col 55}{space 4}-1.246421{col 68}{space 3} 1.368288
{txt}{space 9}350  {c |}{col 15}{res}{space 2}-.6838971{col 27}{space 2} 1.280336{col 38}{space 1}   -0.53{col 47}{space 3}0.593{col 55}{space 4}-3.196241{col 68}{space 3} 1.828447
{txt}{space 9}355  {c |}{col 15}{res}{space 2}-1.700004{col 27}{space 2} 1.372441{col 38}{space 1}   -1.24{col 47}{space 3}0.216{col 55}{space 4}-4.393082{col 68}{space 3} .9930741
{txt}{space 9}359  {c |}{col 15}{res}{space 2}-3.313101{col 27}{space 2} 1.888919{col 38}{space 1}   -1.75{col 47}{space 3}0.080{col 55}{space 4}-7.019641{col 68}{space 3} .3934391
{txt}{space 9}360  {c |}{col 15}{res}{space 2}-1.422785{col 27}{space 2} 1.028009{col 38}{space 1}   -1.38{col 47}{space 3}0.167{col 55}{space 4}-3.440001{col 68}{space 3} .5944312
{txt}{space 9}375  {c |}{col 15}{res}{space 2}-2.329179{col 27}{space 2} 1.490648{col 38}{space 1}   -1.56{col 47}{space 3}0.118{col 55}{space 4}-5.254209{col 68}{space 3} .5958508
{txt}{space 9}380  {c |}{col 15}{res}{space 2}-2.504132{col 27}{space 2} 1.319421{col 38}{space 1}   -1.90{col 47}{space 3}0.058{col 55}{space 4}-5.093172{col 68}{space 3} .0849071
{txt}{space 9}385  {c |}{col 15}{res}{space 2}-3.093614{col 27}{space 2} 1.562069{col 38}{space 1}   -1.98{col 47}{space 3}0.048{col 55}{space 4} -6.15879{col 68}{space 3}-.0284381
{txt}{space 9}390  {c |}{col 15}{res}{space 2}-2.132612{col 27}{space 2} 1.477492{col 38}{space 1}   -1.44{col 47}{space 3}0.149{col 55}{space 4}-5.031828{col 68}{space 3} .7666034
{txt}{space 9}640  {c |}{col 15}{res}{space 2} 2.432736{col 27}{space 2} .9451535{col 38}{space 1}    2.57{col 47}{space 3}0.010{col 55}{space 4} .5781046{col 68}{space 3} 4.287367
{txt}{space 9}666  {c |}{col 15}{res}{space 2}-.8857342{col 27}{space 2} 1.553663{col 38}{space 1}   -0.57{col 47}{space 3}0.569{col 55}{space 4}-3.934416{col 68}{space 3} 2.162947
{txt}{space 9}740  {c |}{col 15}{res}{space 2}-.3157344{col 27}{space 2} .3695651{col 38}{space 1}   -0.85{col 47}{space 3}0.393{col 55}{space 4}-1.040915{col 68}{space 3} .4094464
{txt}{space 9}900  {c |}{col 15}{res}{space 2}-2.616326{col 27}{space 2} 1.142557{col 38}{space 1}   -2.29{col 47}{space 3}0.022{col 55}{space 4}-4.858313{col 68}{space 3}-.3743392
{txt}{space 9}920  {c |}{col 15}{res}{space 2}-2.325618{col 27}{space 2} 1.646723{col 38}{space 1}   -1.41{col 47}{space 3}0.158{col 55}{space 4}-5.556908{col 68}{space 3} .9056709
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1973  {c |}{col 15}{res}{space 2} -.095784{col 27}{space 2} .3687966{col 38}{space 1}   -0.26{col 47}{space 3}0.795{col 55}{space 4}-.8194566{col 68}{space 3} .6278887
{txt}{space 8}1974  {c |}{col 15}{res}{space 2} .2068716{col 27}{space 2} .3710138{col 38}{space 1}    0.56{col 47}{space 3}0.577{col 55}{space 4}-.5211517{col 68}{space 3} .9348949
{txt}{space 8}1975  {c |}{col 15}{res}{space 2}-.1919225{col 27}{space 2} .3542216{col 38}{space 1}   -0.54{col 47}{space 3}0.588{col 55}{space 4}-.8869952{col 68}{space 3} .5031503
{txt}{space 8}1976  {c |}{col 15}{res}{space 2} .0794432{col 27}{space 2} .3587597{col 38}{space 1}    0.22{col 47}{space 3}0.825{col 55}{space 4}-.6245347{col 68}{space 3}  .783421
{txt}{space 8}1977  {c |}{col 15}{res}{space 2} .3553448{col 27}{space 2} .3520051{col 38}{space 1}    1.01{col 47}{space 3}0.313{col 55}{space 4}-.3353787{col 68}{space 3} 1.046068
{txt}{space 8}1978  {c |}{col 15}{res}{space 2} .2655114{col 27}{space 2} .3389919{col 38}{space 1}    0.78{col 47}{space 3}0.434{col 55}{space 4}-.3996769{col 68}{space 3} .9306998
{txt}{space 8}1979  {c |}{col 15}{res}{space 2} .4244407{col 27}{space 2} .3637517{col 38}{space 1}    1.17{col 47}{space 3}0.244{col 55}{space 4}-.2893326{col 68}{space 3} 1.138214
{txt}{space 8}1980  {c |}{col 15}{res}{space 2} .2899524{col 27}{space 2} .3301985{col 38}{space 1}    0.88{col 47}{space 3}0.380{col 55}{space 4}-.3579809{col 68}{space 3} .9378857
{txt}{space 8}1981  {c |}{col 15}{res}{space 2} .3637257{col 27}{space 2} .3625671{col 38}{space 1}    1.00{col 47}{space 3}0.316{col 55}{space 4} -.347723{col 68}{space 3} 1.075175
{txt}{space 8}1982  {c |}{col 15}{res}{space 2} .5231993{col 27}{space 2} .3479067{col 38}{space 1}    1.50{col 47}{space 3}0.133{col 55}{space 4}-.1594822{col 68}{space 3} 1.205881
{txt}{space 8}1983  {c |}{col 15}{res}{space 2} .3601491{col 27}{space 2} .3526398{col 38}{space 1}    1.02{col 47}{space 3}0.307{col 55}{space 4}-.3318199{col 68}{space 3} 1.052118
{txt}{space 8}1984  {c |}{col 15}{res}{space 2} .3213798{col 27}{space 2} .3432154{col 38}{space 1}    0.94{col 47}{space 3}0.349{col 55}{space 4}-.3520961{col 68}{space 3} .9948557
{txt}{space 8}1985  {c |}{col 15}{res}{space 2} .0794252{col 27}{space 2} .3326216{col 38}{space 1}    0.24{col 47}{space 3}0.811{col 55}{space 4} -.573263{col 68}{space 3} .7321133
{txt}{space 8}1986  {c |}{col 15}{res}{space 2} .2706408{col 27}{space 2} .3510088{col 38}{space 1}    0.77{col 47}{space 3}0.441{col 55}{space 4}-.4181277{col 68}{space 3} .9594094
{txt}{space 8}1987  {c |}{col 15}{res}{space 2} .1244555{col 27}{space 2} .3598153{col 38}{space 1}    0.35{col 47}{space 3}0.729{col 55}{space 4}-.5815937{col 68}{space 3} .8305046
{txt}{space 8}1988  {c |}{col 15}{res}{space 2} .0236151{col 27}{space 2} .3718035{col 38}{space 1}    0.06{col 47}{space 3}0.949{col 55}{space 4}-.7059578{col 68}{space 3} .7531881
{txt}{space 8}1989  {c |}{col 15}{res}{space 2}-.1620712{col 27}{space 2} .3535214{col 38}{space 1}   -0.46{col 47}{space 3}0.647{col 55}{space 4}-.8557702{col 68}{space 3} .5316277
{txt}{space 8}1990  {c |}{col 15}{res}{space 2} -.224988{col 27}{space 2} .3405615{col 38}{space 1}   -0.66{col 47}{space 3}0.509{col 55}{space 4}-.8932563{col 68}{space 3} .4432802
{txt}{space 8}1991  {c |}{col 15}{res}{space 2}-.4645864{col 27}{space 2} .3396425{col 38}{space 1}   -1.37{col 47}{space 3}0.172{col 55}{space 4}-1.131051{col 68}{space 3} .2018785
{txt}{space 8}1992  {c |}{col 15}{res}{space 2} -.786333{col 27}{space 2} .3386404{col 38}{space 1}   -2.32{col 47}{space 3}0.020{col 55}{space 4}-1.450832{col 68}{space 3}-.1218345
{txt}{space 8}1993  {c |}{col 15}{res}{space 2}-.4860431{col 27}{space 2} .3301911{col 38}{space 1}   -1.47{col 47}{space 3}0.141{col 55}{space 4}-1.133962{col 68}{space 3} .1618758
{txt}{space 8}1994  {c |}{col 15}{res}{space 2}-.3136828{col 27}{space 2} .3527664{col 38}{space 1}   -0.89{col 47}{space 3}0.374{col 55}{space 4}  -1.0059{col 68}{space 3} .3785346
{txt}{space 8}1995  {c |}{col 15}{res}{space 2}-.7285676{col 27}{space 2} .3407399{col 38}{space 1}   -2.14{col 47}{space 3}0.033{col 55}{space 4}-1.397186{col 68}{space 3}-.0599494
{txt}{space 8}1996  {c |}{col 15}{res}{space 2}-.8060113{col 27}{space 2} .3457423{col 38}{space 1}   -2.33{col 47}{space 3}0.020{col 55}{space 4}-1.484446{col 68}{space 3} -.127577
{txt}{space 8}1997  {c |}{col 15}{res}{space 2}-1.047542{col 27}{space 2} .3415876{col 38}{space 1}   -3.07{col 47}{space 3}0.002{col 55}{space 4}-1.717824{col 68}{space 3}-.3772605
{txt}{space 8}1998  {c |}{col 15}{res}{space 2} -1.08502{col 27}{space 2} .3458273{col 38}{space 1}   -3.14{col 47}{space 3}0.002{col 55}{space 4}-1.763621{col 68}{space 3}-.4064187
{txt}{space 8}1999  {c |}{col 15}{res}{space 2}-1.052731{col 27}{space 2} .3513692{col 38}{space 1}   -3.00{col 47}{space 3}0.003{col 55}{space 4}-1.742206{col 68}{space 3} -.363255
{txt}{space 8}2000  {c |}{col 15}{res}{space 2}-1.125445{col 27}{space 2} .3571735{col 38}{space 1}   -3.15{col 47}{space 3}0.002{col 55}{space 4} -1.82631{col 68}{space 3}  -.42458
{txt}{space 8}2001  {c |}{col 15}{res}{space 2}-1.285425{col 27}{space 2} .3734063{col 38}{space 1}   -3.44{col 47}{space 3}0.001{col 55}{space 4}-2.018143{col 68}{space 3}-.5527071
{txt}{space 8}2002  {c |}{col 15}{res}{space 2}-1.183524{col 27}{space 2} .3595788{col 38}{space 1}   -3.29{col 47}{space 3}0.001{col 55}{space 4}-1.889109{col 68}{space 3}-.4779388
{txt}{space 8}2003  {c |}{col 15}{res}{space 2}-1.053032{col 27}{space 2} .3573456{col 38}{space 1}   -2.95{col 47}{space 3}0.003{col 55}{space 4}-1.754235{col 68}{space 3}-.3518292
{txt}{space 8}2004  {c |}{col 15}{res}{space 2}-.9096263{col 27}{space 2} .3597972{col 38}{space 1}   -2.53{col 47}{space 3}0.012{col 55}{space 4} -1.61564{col 68}{space 3}-.2036127
{txt}{space 8}2005  {c |}{col 15}{res}{space 2}-.9697009{col 27}{space 2} .3715721{col 38}{space 1}   -2.61{col 47}{space 3}0.009{col 55}{space 4} -1.69882{col 68}{space 3}-.2405819
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 10.08806{col 27}{space 2} 7.345863{col 38}{space 1}    1.37{col 47}{space 3}0.170{col 55}{space 4}-4.326389{col 68}{space 3} 24.50251
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3  $X i.ccode i.year, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}{help j_robustsingular:F(89, 1037) }      =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.8043
                                                {txt}Root MSE          =    {res} .76623

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.0348745{col 27}{space 2}  .063819{col 38}{space 1}   -0.55{col 47}{space 3}0.585{col 55}{space 4}-.1601036{col 68}{space 3} .0903547
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .2591638{col 27}{space 2} .0841418{col 38}{space 1}    3.08{col 47}{space 3}0.002{col 55}{space 4} .0940563{col 68}{space 3} .4242713
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3143948{col 27}{space 2} .0631311{col 38}{space 1}    4.98{col 47}{space 3}0.000{col 55}{space 4} .1905155{col 68}{space 3}  .438274
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} -.341239{col 27}{space 2} .3131871{col 38}{space 1}   -1.09{col 47}{space 3}0.276{col 55}{space 4}-.9557918{col 68}{space 3} .2733138
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0636688{col 27}{space 2} .0115476{col 38}{space 1}   -5.51{col 47}{space 3}0.000{col 55}{space 4}-.0863281{col 68}{space 3}-.0410096
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0232968{col 27}{space 2} .0207117{col 38}{space 1}   -1.12{col 47}{space 3}0.261{col 55}{space 4}-.0639384{col 68}{space 3} .0173447
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0603206{col 27}{space 2} .0550344{col 38}{space 1}    1.10{col 47}{space 3}0.273{col 55}{space 4}-.0476709{col 68}{space 3} .1683122
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.7890316{col 27}{space 2} .2608872{col 38}{space 1}   -3.02{col 47}{space 3}0.003{col 55}{space 4}-1.300959{col 68}{space 3}-.2771046
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0085265{col 27}{space 2} .0641403{col 38}{space 1}    0.13{col 47}{space 3}0.894{col 55}{space 4}-.1173331{col 68}{space 3} .1343862
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.1245447{col 27}{space 2} .0705734{col 38}{space 1}   -1.76{col 47}{space 3}0.078{col 55}{space 4}-.2630277{col 68}{space 3} .0139383
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0029818{col 27}{space 2} .0006691{col 38}{space 1}    4.46{col 47}{space 3}0.000{col 55}{space 4} .0016689{col 68}{space 3} .0042948
{txt}{space 13} {c |}
{space 8}ccode {c |}
{space 10}20  {c |}{col 15}{res}{space 2}-2.204771{col 27}{space 2} .8500318{col 38}{space 1}   -2.59{col 47}{space 3}0.010{col 55}{space 4} -3.87275{col 68}{space 3}-.5367925
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-4.692818{col 27}{space 2} 1.368768{col 38}{space 1}   -3.43{col 47}{space 3}0.001{col 55}{space 4}-7.378689{col 68}{space 3}-2.006947
{txt}{space 10}51  {c |}{col 15}{res}{space 2}-4.355531{col 27}{space 2} 1.518778{col 38}{space 1}   -2.87{col 47}{space 3}0.004{col 55}{space 4}-7.335759{col 68}{space 3}-1.375302
{txt}{space 10}52  {c |}{col 15}{res}{space 2}-4.510838{col 27}{space 2}   1.7612{col 38}{space 1}   -2.56{col 47}{space 3}0.011{col 55}{space 4}-7.966761{col 68}{space 3}-1.054916
{txt}{space 10}70  {c |}{col 15}{res}{space 2}-3.166145{col 27}{space 2} .6017611{col 38}{space 1}   -5.26{col 47}{space 3}0.000{col 55}{space 4}-4.346953{col 68}{space 3}-1.985337
{txt}{space 10}90  {c |}{col 15}{res}{space 2}-4.337482{col 27}{space 2} 1.209681{col 38}{space 1}   -3.59{col 47}{space 3}0.000{col 55}{space 4}-6.711184{col 68}{space 3} -1.96378
{txt}{space 10}91  {c |}{col 15}{res}{space 2}  -4.7094{col 27}{space 2} 1.364027{col 38}{space 1}   -3.45{col 47}{space 3}0.001{col 55}{space 4}-7.385967{col 68}{space 3}-2.032832
{txt}{space 10}92  {c |}{col 15}{res}{space 2}-4.447832{col 27}{space 2}  1.30768{col 38}{space 1}   -3.40{col 47}{space 3}0.001{col 55}{space 4}-7.013832{col 68}{space 3}-1.881832
{txt}{space 10}93  {c |}{col 15}{res}{space 2}-4.515912{col 27}{space 2} 1.467354{col 38}{space 1}   -3.08{col 47}{space 3}0.002{col 55}{space 4}-7.395233{col 68}{space 3} -1.63659
{txt}{space 10}94  {c |}{col 15}{res}{space 2}-4.369584{col 27}{space 2} 1.403346{col 38}{space 1}   -3.11{col 47}{space 3}0.002{col 55}{space 4}-7.123305{col 68}{space 3}-1.615862
{txt}{space 10}95  {c |}{col 15}{res}{space 2}-4.122582{col 27}{space 2} 1.583539{col 38}{space 1}   -2.60{col 47}{space 3}0.009{col 55}{space 4}-7.229889{col 68}{space 3}-1.015275
{txt}{space 9}100  {c |}{col 15}{res}{space 2}-3.997764{col 27}{space 2} .8495234{col 38}{space 1}   -4.71{col 47}{space 3}0.000{col 55}{space 4}-5.664745{col 68}{space 3}-2.330783
{txt}{space 9}101  {c |}{col 15}{res}{space 2}-3.676141{col 27}{space 2} .8472996{col 38}{space 1}   -4.34{col 47}{space 3}0.000{col 55}{space 4}-5.338758{col 68}{space 3}-2.013524
{txt}{space 9}130  {c |}{col 15}{res}{space 2}-4.596966{col 27}{space 2} 1.070223{col 38}{space 1}   -4.30{col 47}{space 3}0.000{col 55}{space 4}-6.697016{col 68}{space 3}-2.496916
{txt}{space 9}135  {c |}{col 15}{res}{space 2} -4.41077{col 27}{space 2} .9126387{col 38}{space 1}   -4.83{col 47}{space 3}0.000{col 55}{space 4}-6.201599{col 68}{space 3}-2.619941
{txt}{space 9}140  {c |}{col 15}{res}{space 2}-2.637983{col 27}{space 2} .4911831{col 38}{space 1}   -5.37{col 47}{space 3}0.000{col 55}{space 4} -3.60181{col 68}{space 3}-1.674157
{txt}{space 9}145  {c |}{col 15}{res}{space 2}-3.962395{col 27}{space 2} 1.359477{col 38}{space 1}   -2.91{col 47}{space 3}0.004{col 55}{space 4}-6.630035{col 68}{space 3}-1.294755
{txt}{space 9}150  {c |}{col 15}{res}{space 2}-4.097011{col 27}{space 2} 1.322196{col 38}{space 1}   -3.10{col 47}{space 3}0.002{col 55}{space 4}-6.691496{col 68}{space 3}-1.502525
{txt}{space 9}155  {c |}{col 15}{res}{space 2}-3.841508{col 27}{space 2} 1.039238{col 38}{space 1}   -3.70{col 47}{space 3}0.000{col 55}{space 4}-5.880756{col 68}{space 3} -1.80226
{txt}{space 9}160  {c |}{col 15}{res}{space 2}-3.174843{col 27}{space 2} .7623804{col 38}{space 1}   -4.16{col 47}{space 3}0.000{col 55}{space 4}-4.670827{col 68}{space 3}-1.678859
{txt}{space 9}165  {c |}{col 15}{res}{space 2}-3.520729{col 27}{space 2} 1.432244{col 38}{space 1}   -2.46{col 47}{space 3}0.014{col 55}{space 4}-6.331155{col 68}{space 3}-.7103026
{txt}{space 9}200  {c |}{col 15}{res}{space 2} .9988213{col 27}{space 2} .6363413{col 38}{space 1}    1.57{col 47}{space 3}0.117{col 55}{space 4}-.2498421{col 68}{space 3} 2.247485
{txt}{space 9}205  {c |}{col 15}{res}{space 2}-2.383662{col 27}{space 2} 1.443251{col 38}{space 1}   -1.65{col 47}{space 3}0.099{col 55}{space 4}-5.215687{col 68}{space 3} .4483635
{txt}{space 9}210  {c |}{col 15}{res}{space 2}-1.709128{col 27}{space 2} .9718344{col 38}{space 1}   -1.76{col 47}{space 3}0.079{col 55}{space 4}-3.616114{col 68}{space 3} .1978582
{txt}{space 9}211  {c |}{col 15}{res}{space 2}-2.123571{col 27}{space 2} 1.046855{col 38}{space 1}   -2.03{col 47}{space 3}0.043{col 55}{space 4}-4.177767{col 68}{space 3}-.0693752
{txt}{space 9}220  {c |}{col 15}{res}{space 2}-.9038004{col 27}{space 2} .5879534{col 38}{space 1}   -1.54{col 47}{space 3}0.125{col 55}{space 4}-2.057514{col 68}{space 3} .2499136
{txt}{space 9}225  {c |}{col 15}{res}{space 2}-1.902307{col 27}{space 2} 1.168067{col 38}{space 1}   -1.63{col 47}{space 3}0.104{col 55}{space 4}-4.194351{col 68}{space 3} .3897371
{txt}{space 9}230  {c |}{col 15}{res}{space 2} .8513492{col 27}{space 2} .7101049{col 38}{space 1}    1.20{col 47}{space 3}0.231{col 55}{space 4}-.5420571{col 68}{space 3} 2.244756
{txt}{space 9}235  {c |}{col 15}{res}{space 2}-2.786045{col 27}{space 2} 1.077889{col 38}{space 1}   -2.58{col 47}{space 3}0.010{col 55}{space 4}-4.901137{col 68}{space 3}-.6709524
{txt}{space 9}290  {c |}{col 15}{res}{space 2}-3.274857{col 27}{space 2} .7070597{col 38}{space 1}   -4.63{col 47}{space 3}0.000{col 55}{space 4}-4.662288{col 68}{space 3}-1.887426
{txt}{space 9}305  {c |}{col 15}{res}{space 2}-2.009353{col 27}{space 2} 1.115141{col 38}{space 1}   -1.80{col 47}{space 3}0.072{col 55}{space 4}-4.197544{col 68}{space 3} .1788371
{txt}{space 9}310  {c |}{col 15}{res}{space 2}-3.376977{col 27}{space 2} 1.056021{col 38}{space 1}   -3.20{col 47}{space 3}0.001{col 55}{space 4}-5.449158{col 68}{space 3}-1.304796
{txt}{space 9}325  {c |}{col 15}{res}{space 2}-1.722944{col 27}{space 2} .5604196{col 38}{space 1}   -3.07{col 47}{space 3}0.002{col 55}{space 4} -2.82263{col 68}{space 3}-.6232585
{txt}{space 9}350  {c |}{col 15}{res}{space 2}-2.931115{col 27}{space 2} 1.119852{col 38}{space 1}   -2.62{col 47}{space 3}0.009{col 55}{space 4} -5.12855{col 68}{space 3}-.7336808
{txt}{space 9}355  {c |}{col 15}{res}{space 2}-3.429874{col 27}{space 2} 1.116218{col 38}{space 1}   -3.07{col 47}{space 3}0.002{col 55}{space 4}-5.620178{col 68}{space 3} -1.23957
{txt}{space 9}359  {c |}{col 15}{res}{space 2}-5.324544{col 27}{space 2} 1.452859{col 38}{space 1}   -3.66{col 47}{space 3}0.000{col 55}{space 4}-8.175423{col 68}{space 3}-2.473665
{txt}{space 9}360  {c |}{col 15}{res}{space 2}-3.608938{col 27}{space 2} .8482229{col 38}{space 1}   -4.25{col 47}{space 3}0.000{col 55}{space 4}-5.273367{col 68}{space 3}-1.944509
{txt}{space 9}375  {c |}{col 15}{res}{space 2}-3.145042{col 27}{space 2} 1.281063{col 38}{space 1}   -2.46{col 47}{space 3}0.014{col 55}{space 4}-5.658813{col 68}{space 3}-.6312705
{txt}{space 9}380  {c |}{col 15}{res}{space 2}-3.146269{col 27}{space 2} 1.107001{col 38}{space 1}   -2.84{col 47}{space 3}0.005{col 55}{space 4}-5.318487{col 68}{space 3}-.9740515
{txt}{space 9}385  {c |}{col 15}{res}{space 2}-3.129609{col 27}{space 2}  1.33182{col 38}{space 1}   -2.35{col 47}{space 3}0.019{col 55}{space 4}-5.742979{col 68}{space 3}-.5162389
{txt}{space 9}390  {c |}{col 15}{res}{space 2}-2.873068{col 27}{space 2} 1.242611{col 38}{space 1}   -2.31{col 47}{space 3}0.021{col 55}{space 4}-5.311386{col 68}{space 3}-.4347494
{txt}{space 9}640  {c |}{col 15}{res}{space 2} .9965285{col 27}{space 2} .7895868{col 38}{space 1}    1.26{col 47}{space 3}0.207{col 55}{space 4}-.5528415{col 68}{space 3} 2.545899
{txt}{space 9}666  {c |}{col 15}{res}{space 2} .6966776{col 27}{space 2}   1.3051{col 38}{space 1}    0.53{col 47}{space 3}0.594{col 55}{space 4} -1.86426{col 68}{space 3} 3.257615
{txt}{space 9}740  {c |}{col 15}{res}{space 2}-1.391463{col 27}{space 2} .3317258{col 38}{space 1}   -4.19{col 47}{space 3}0.000{col 55}{space 4}-2.042394{col 68}{space 3}-.7405329
{txt}{space 9}900  {c |}{col 15}{res}{space 2}-2.962964{col 27}{space 2} .9858302{col 38}{space 1}   -3.01{col 47}{space 3}0.003{col 55}{space 4}-4.897414{col 68}{space 3}-1.028515
{txt}{space 9}920  {c |}{col 15}{res}{space 2}-3.314021{col 27}{space 2} 1.391969{col 38}{space 1}   -2.38{col 47}{space 3}0.017{col 55}{space 4}-6.045418{col 68}{space 3}-.5826249
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1973  {c |}{col 15}{res}{space 2}-.2583063{col 27}{space 2} .2767829{col 38}{space 1}   -0.93{col 47}{space 3}0.351{col 55}{space 4}-.8014249{col 68}{space 3} .2848122
{txt}{space 8}1974  {c |}{col 15}{res}{space 2}-.1683966{col 27}{space 2} .2506214{col 38}{space 1}   -0.67{col 47}{space 3}0.502{col 55}{space 4}-.6601795{col 68}{space 3} .3233862
{txt}{space 8}1975  {c |}{col 15}{res}{space 2} -.363062{col 27}{space 2} .2290652{col 38}{space 1}   -1.58{col 47}{space 3}0.113{col 55}{space 4}-.8125462{col 68}{space 3} .0864223
{txt}{space 8}1976  {c |}{col 15}{res}{space 2}-.2704865{col 27}{space 2}  .239057{col 38}{space 1}   -1.13{col 47}{space 3}0.258{col 55}{space 4}-.7395771{col 68}{space 3} .1986041
{txt}{space 8}1977  {c |}{col 15}{res}{space 2}-.0066797{col 27}{space 2} .2680778{col 38}{space 1}   -0.02{col 47}{space 3}0.980{col 55}{space 4}-.5327165{col 68}{space 3} .5193571
{txt}{space 8}1978  {c |}{col 15}{res}{space 2} .0266306{col 27}{space 2} .2605719{col 38}{space 1}    0.10{col 47}{space 3}0.919{col 55}{space 4}-.4846777{col 68}{space 3} .5379388
{txt}{space 8}1979  {c |}{col 15}{res}{space 2} .1528079{col 27}{space 2} .2644998{col 38}{space 1}    0.58{col 47}{space 3}0.564{col 55}{space 4} -.366208{col 68}{space 3} .6718238
{txt}{space 8}1980  {c |}{col 15}{res}{space 2} .0353198{col 27}{space 2} .2583321{col 38}{space 1}    0.14{col 47}{space 3}0.891{col 55}{space 4}-.4715934{col 68}{space 3} .5422329
{txt}{space 8}1981  {c |}{col 15}{res}{space 2} .1841736{col 27}{space 2} .2465237{col 38}{space 1}    0.75{col 47}{space 3}0.455{col 55}{space 4}-.2995685{col 68}{space 3} .6679157
{txt}{space 8}1982  {c |}{col 15}{res}{space 2}  .694135{col 27}{space 2} .3712027{col 38}{space 1}    1.87{col 47}{space 3}0.062{col 55}{space 4}-.0342591{col 68}{space 3} 1.422529
{txt}{space 8}1983  {c |}{col 15}{res}{space 2} .3507695{col 27}{space 2} .3627457{col 38}{space 1}    0.97{col 47}{space 3}0.334{col 55}{space 4}-.3610298{col 68}{space 3} 1.062569
{txt}{space 8}1984  {c |}{col 15}{res}{space 2} .4027329{col 27}{space 2} .3483149{col 38}{space 1}    1.16{col 47}{space 3}0.248{col 55}{space 4}-.2807495{col 68}{space 3} 1.086215
{txt}{space 8}1985  {c |}{col 15}{res}{space 2}-.0731484{col 27}{space 2} .2529177{col 38}{space 1}   -0.29{col 47}{space 3}0.772{col 55}{space 4}-.5694373{col 68}{space 3} .4231404
{txt}{space 8}1986  {c |}{col 15}{res}{space 2}-.0707639{col 27}{space 2} .2466953{col 38}{space 1}   -0.29{col 47}{space 3}0.774{col 55}{space 4}-.5548428{col 68}{space 3}  .413315
{txt}{space 8}1987  {c |}{col 15}{res}{space 2}-.1598614{col 27}{space 2} .2336831{col 38}{space 1}   -0.68{col 47}{space 3}0.494{col 55}{space 4}-.6184071{col 68}{space 3} .2986842
{txt}{space 8}1988  {c |}{col 15}{res}{space 2}-.0855827{col 27}{space 2} .2397556{col 38}{space 1}   -0.36{col 47}{space 3}0.721{col 55}{space 4}-.5560442{col 68}{space 3} .3848787
{txt}{space 8}1989  {c |}{col 15}{res}{space 2}-.1673841{col 27}{space 2} .2425645{col 38}{space 1}   -0.69{col 47}{space 3}0.490{col 55}{space 4}-.6433574{col 68}{space 3} .3085892
{txt}{space 8}1990  {c |}{col 15}{res}{space 2}-.3568969{col 27}{space 2} .2330386{col 38}{space 1}   -1.53{col 47}{space 3}0.126{col 55}{space 4}-.8141779{col 68}{space 3} .1003841
{txt}{space 8}1991  {c |}{col 15}{res}{space 2}-.3415068{col 27}{space 2} .2319349{col 38}{space 1}   -1.47{col 47}{space 3}0.141{col 55}{space 4}-.7966221{col 68}{space 3} .1136084
{txt}{space 8}1992  {c |}{col 15}{res}{space 2}-.3803759{col 27}{space 2} .2319338{col 38}{space 1}   -1.64{col 47}{space 3}0.101{col 55}{space 4}-.8354889{col 68}{space 3} .0747372
{txt}{space 8}1993  {c |}{col 15}{res}{space 2} -.368346{col 27}{space 2} .2267733{col 38}{space 1}   -1.62{col 47}{space 3}0.105{col 55}{space 4}-.8133329{col 68}{space 3}  .076641
{txt}{space 8}1994  {c |}{col 15}{res}{space 2}-.2121698{col 27}{space 2} .2273461{col 38}{space 1}   -0.93{col 47}{space 3}0.351{col 55}{space 4}-.6582805{col 68}{space 3}  .233941
{txt}{space 8}1995  {c |}{col 15}{res}{space 2}-.3291939{col 27}{space 2} .2234697{col 38}{space 1}   -1.47{col 47}{space 3}0.141{col 55}{space 4}-.7676983{col 68}{space 3} .1093105
{txt}{space 8}1996  {c |}{col 15}{res}{space 2}-.2917987{col 27}{space 2} .2260395{col 38}{space 1}   -1.29{col 47}{space 3}0.197{col 55}{space 4}-.7353457{col 68}{space 3} .1517484
{txt}{space 8}1997  {c |}{col 15}{res}{space 2}-.3273873{col 27}{space 2} .2273343{col 38}{space 1}   -1.44{col 47}{space 3}0.150{col 55}{space 4}-.7734751{col 68}{space 3} .1187004
{txt}{space 8}1998  {c |}{col 15}{res}{space 2}-.3393338{col 27}{space 2} .2325236{col 38}{space 1}   -1.46{col 47}{space 3}0.145{col 55}{space 4}-.7956041{col 68}{space 3} .1169366
{txt}{space 8}1999  {c |}{col 15}{res}{space 2}-.3154649{col 27}{space 2} .2478091{col 38}{space 1}   -1.27{col 47}{space 3}0.203{col 55}{space 4}-.8017294{col 68}{space 3} .1707995
{txt}{space 8}2000  {c |}{col 15}{res}{space 2}-.2873803{col 27}{space 2} .2398909{col 38}{space 1}   -1.20{col 47}{space 3}0.231{col 55}{space 4}-.7581073{col 68}{space 3} .1833467
{txt}{space 8}2001  {c |}{col 15}{res}{space 2}-.2748637{col 27}{space 2}  .238661{col 38}{space 1}   -1.15{col 47}{space 3}0.250{col 55}{space 4}-.7431774{col 68}{space 3} .1934499
{txt}{space 8}2002  {c |}{col 15}{res}{space 2}-.2962326{col 27}{space 2} .2484163{col 38}{space 1}   -1.19{col 47}{space 3}0.233{col 55}{space 4}-.7836884{col 68}{space 3} .1912233
{txt}{space 8}2003  {c |}{col 15}{res}{space 2}-.3437904{col 27}{space 2} .2590094{col 38}{space 1}   -1.33{col 47}{space 3}0.185{col 55}{space 4}-.8520328{col 68}{space 3} .1644519
{txt}{space 8}2004  {c |}{col 15}{res}{space 2}-.2424842{col 27}{space 2} .2480784{col 38}{space 1}   -0.98{col 47}{space 3}0.329{col 55}{space 4}-.7292771{col 68}{space 3} .2443086
{txt}{space 8}2005  {c |}{col 15}{res}{space 2}-.2498556{col 27}{space 2} .2354297{col 38}{space 1}   -1.06{col 47}{space 3}0.289{col 55}{space 4}-.7118285{col 68}{space 3} .2121173
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}   9.9965{col 27}{space 2} 6.065626{col 38}{space 1}    1.65{col 47}{space 3}0.100{col 55}{space 4}-1.905801{col 68}{space 3}  21.8988
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_yc.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_yc.tex"'})

{com}. eststo clear
{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-380621.42}  
Iteration 1:{space 3}log pseudolikelihood = {res:-283062.04}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-107991.78}  
Iteration 3:{space 3}log pseudolikelihood = {res:-60193.704}  
Iteration 4:{space 3}log pseudolikelihood = {res:-32132.221}  
Iteration 5:{space 3}log pseudolikelihood = {res: -29224.07}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29181.899}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29181.866}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29181.866}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3471.1818}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3248.3329}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3103.9689}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3062.8456}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3060.9274}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3060.9248}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3060.9248}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   2555.35
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3060.9248{txt}{col 49}Pseudo R2{col 67}= {res}    0.1308

{txt}{ralign 79:(Std. Err. adjusted for {res:47} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .6597657{col 27}{space 2} .3121528{col 38}{space 1}    2.11{col 47}{space 3}0.035{col 55}{space 4} .0479575{col 68}{space 3} 1.271574
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.6294226{col 27}{space 2} .4712305{col 38}{space 1}   -1.34{col 47}{space 3}0.182{col 55}{space 4}-1.553017{col 68}{space 3} .2941722
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .2469406{col 27}{space 2} .2423779{col 38}{space 1}    1.02{col 47}{space 3}0.308{col 55}{space 4}-.2281114{col 68}{space 3} .7219927
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} 1.015479{col 27}{space 2} .1794991{col 38}{space 1}    5.66{col 47}{space 3}0.000{col 55}{space 4} .6636675{col 68}{space 3} 1.367291
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0914622{col 27}{space 2} .0506207{col 38}{space 1}   -1.81{col 47}{space 3}0.071{col 55}{space 4}-.1906768{col 68}{space 3} .0077525
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0248035{col 27}{space 2} .0806296{col 38}{space 1}    0.31{col 47}{space 3}0.758{col 55}{space 4}-.1332276{col 68}{space 3} .1828346
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .5164057{col 27}{space 2} .2249447{col 38}{space 1}    2.30{col 47}{space 3}0.022{col 55}{space 4} .0755222{col 68}{space 3} .9572893
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .2163275{col 27}{space 2} 1.014032{col 38}{space 1}    0.21{col 47}{space 3}0.831{col 55}{space 4}-1.771139{col 68}{space 3} 2.203794
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0977397{col 27}{space 2} .1470188{col 38}{space 1}   -0.66{col 47}{space 3}0.506{col 55}{space 4}-.3858913{col 68}{space 3} .1904119
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0379125{col 27}{space 2} .1498707{col 38}{space 1}   -0.25{col 47}{space 3}0.800{col 55}{space 4}-.3316537{col 68}{space 3} .2558286
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0098548{col 27}{space 2} .0028804{col 38}{space 1}    3.42{col 47}{space 3}0.001{col 55}{space 4} .0042093{col 68}{space 3} .0155002
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-25.55003{col 27}{space 2} .9977927{col 38}{space 1}  -25.61{col 47}{space 3}0.000{col 55}{space 4}-27.50567{col 68}{space 3}-23.59439
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .7575335{col 27}{space 2} .9961978{col 38}{space 1}    0.76{col 47}{space 3}0.447{col 55}{space 4}-1.194978{col 68}{space 3} 2.710045
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.188515{col 27}{space 2} .7442369{col 38}{space 1}   -1.60{col 47}{space 3}0.110{col 55}{space 4}-2.647193{col 68}{space 3} .2701623
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1062718{col 27}{space 2} .2779604{col 38}{space 1}    0.38{col 47}{space 3}0.702{col 55}{space 4}-.4385205{col 68}{space 3} .6510641
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.4599355{col 27}{space 2} .3940838{col 38}{space 1}   -1.17{col 47}{space 3}0.243{col 55}{space 4}-1.232326{col 68}{space 3} .3124546
{txt}{space 9}200  {c |}{col 15}{res}{space 2} -1.09885{col 27}{space 2} .5426082{col 38}{space 1}   -2.03{col 47}{space 3}0.043{col 55}{space 4}-2.162342{col 68}{space 3}-.0353571
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-13.25302{col 27}{space 2}  3.01566{col 38}{space 1}   -4.39{col 47}{space 3}0.000{col 55}{space 4} -19.1636{col 68}{space 3}-7.342435
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.023076{col 27}{space 2} .1394368{col 55}{space 4} .7497844{col 68}{space 3} 1.296367
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.781737{col 27}{space 2} .3878765{col 55}{space 4} 2.116544{col 68}{space 3} 3.655989
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, cluster(ccode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102552.85}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56005.741}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-38778.367}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11829.323}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9901.5332}  
Iteration 5:{space 3}log pseudolikelihood = {res:-9859.3081}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9859.1347}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9859.1129}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9859.1089}  
Iteration 9:{space 3}log pseudolikelihood = {res: -9859.108}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 11:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 12:{space 2}log pseudolikelihood = {res:-9859.1077}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2363.3811}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2202.0318}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2087.7952}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2036.5917}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2023.4496}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2023.4413}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2023.4413}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}    890.20
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2023.4413{txt}{col 49}Pseudo R2{col 67}= {res}    0.1526

{txt}{ralign 79:(Std. Err. adjusted for {res:47} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.4754445{col 27}{space 2}  .425145{col 38}{space 1}   -1.12{col 47}{space 3}0.263{col 55}{space 4}-1.308713{col 68}{space 3} .3578245
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.192136{col 27}{space 2} .5131341{col 38}{space 1}    2.32{col 47}{space 3}0.020{col 55}{space 4} .1864112{col 68}{space 3}  2.19786
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3502374{col 27}{space 2} .3191665{col 38}{space 1}    1.10{col 47}{space 3}0.272{col 55}{space 4}-.2753175{col 68}{space 3} .9757922
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}  .856207{col 27}{space 2} .2145506{col 38}{space 1}    3.99{col 47}{space 3}0.000{col 55}{space 4} .4356955{col 68}{space 3} 1.276718
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0225795{col 27}{space 2} .0583367{col 38}{space 1}   -0.39{col 47}{space 3}0.699{col 55}{space 4}-.1369173{col 68}{space 3} .0917582
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .5067003{col 27}{space 2}  .149204{col 38}{space 1}    3.40{col 47}{space 3}0.001{col 55}{space 4} .2142659{col 68}{space 3} .7991347
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0604718{col 27}{space 2} .3085093{col 38}{space 1}    0.20{col 47}{space 3}0.845{col 55}{space 4}-.5441952{col 68}{space 3} .6651389
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.836327{col 27}{space 2} .8006849{col 38}{space 1}   -2.29{col 47}{space 3}0.022{col 55}{space 4}-3.405641{col 68}{space 3}-.2670139
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0941021{col 27}{space 2} .3041055{col 38}{space 1}    0.31{col 47}{space 3}0.757{col 55}{space 4}-.5019336{col 68}{space 3} .6901379
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0242868{col 27}{space 2} .1929744{col 38}{space 1}    0.13{col 47}{space 3}0.900{col 55}{space 4} -.353936{col 68}{space 3} .4025096
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0067268{col 27}{space 2}  .002492{col 38}{space 1}    2.70{col 47}{space 3}0.007{col 55}{space 4} .0018425{col 68}{space 3} .0116111
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-20.19067{col 27}{space 2} 1.433975{col 38}{space 1}  -14.08{col 47}{space 3}0.000{col 55}{space 4}-23.00121{col 68}{space 3}-17.38013
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 2.778671{col 27}{space 2} .6392875{col 38}{space 1}    4.35{col 47}{space 3}0.000{col 55}{space 4} 1.525691{col 68}{space 3} 4.031651
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.905865{col 27}{space 2} 1.177663{col 38}{space 1}   -1.62{col 47}{space 3}0.106{col 55}{space 4}-4.214041{col 68}{space 3} .4023112
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0227282{col 27}{space 2} .2772378{col 38}{space 1}    0.08{col 47}{space 3}0.935{col 55}{space 4}-.5206478{col 68}{space 3} .5661043
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.2076093{col 27}{space 2} .4712791{col 38}{space 1}   -0.44{col 47}{space 3}0.660{col 55}{space 4}-1.131299{col 68}{space 3} .7160808
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.205593{col 27}{space 2} .6715151{col 38}{space 1}   -1.80{col 47}{space 3}0.073{col 55}{space 4}-2.521738{col 68}{space 3} .1105524
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-14.37041{col 27}{space 2} 4.682589{col 38}{space 1}   -3.07{col 47}{space 3}0.002{col 55}{space 4}-23.54812{col 68}{space 3}-5.192703
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.299724{col 27}{space 2} .2696068{col 55}{space 4} .7713041{col 68}{space 3} 1.828143
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 3.668283{col 27}{space 2} .9889938{col 55}{space 4} 2.162585{col 68}{space 3} 6.222322
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, cluster(ccode)

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(17, 46)         =  {res}   122.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6154
                                                {txt}Root MSE          =    {res} 1.2616

{txt}{ralign 79:(Std. Err. adjusted for {res:47} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .2588281{col 27}{space 2} .2609001{col 38}{space 1}    0.99{col 47}{space 3}0.326{col 55}{space 4}-.2663367{col 68}{space 3} .7839928
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.1728445{col 27}{space 2} .4140086{col 38}{space 1}   -0.42{col 47}{space 3}0.678{col 55}{space 4}-1.006201{col 68}{space 3} .6605117
{txt}empowerscore3 {c |}{col 15}{res}{space 2}  .136707{col 27}{space 2} .1032506{col 38}{space 1}    1.32{col 47}{space 3}0.192{col 55}{space 4}-.0711256{col 68}{space 3} .3445396
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .3106293{col 27}{space 2} .0924427{col 38}{space 1}    3.36{col 47}{space 3}0.002{col 55}{space 4} .1245517{col 68}{space 3} .4967068
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0315189{col 27}{space 2} .0252903{col 38}{space 1}   -1.25{col 47}{space 3}0.219{col 55}{space 4}-.0824257{col 68}{space 3} .0193879
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0247783{col 27}{space 2} .0628665{col 38}{space 1}    0.39{col 47}{space 3}0.695{col 55}{space 4}-.1017654{col 68}{space 3} .1513221
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3949993{col 27}{space 2} .1769246{col 38}{space 1}    2.23{col 47}{space 3}0.030{col 55}{space 4} .0388686{col 68}{space 3} .7511301
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.2408093{col 27}{space 2}  .523837{col 38}{space 1}   -0.46{col 47}{space 3}0.648{col 55}{space 4}-1.295238{col 68}{space 3} .8136198
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0421225{col 27}{space 2} .1109304{col 38}{space 1}   -0.38{col 47}{space 3}0.706{col 55}{space 4}-.2654138{col 68}{space 3} .1811688
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0721642{col 27}{space 2} .1117147{col 38}{space 1}    0.65{col 47}{space 3}0.522{col 55}{space 4}-.1527058{col 68}{space 3} .2970342
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0118648{col 27}{space 2}  .001774{col 38}{space 1}    6.69{col 47}{space 3}0.000{col 55}{space 4} .0082939{col 68}{space 3} .0154357
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.6862307{col 27}{space 2} .5468763{col 38}{space 1}   -1.25{col 47}{space 3}0.216{col 55}{space 4}-1.787036{col 68}{space 3} .4145743
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 1.540101{col 27}{space 2} .4330456{col 38}{space 1}    3.56{col 47}{space 3}0.001{col 55}{space 4} .6684257{col 68}{space 3} 2.411777
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.2188812{col 27}{space 2} .4929941{col 38}{space 1}   -0.44{col 47}{space 3}0.659{col 55}{space 4}-1.211227{col 68}{space 3} .7734643
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1451653{col 27}{space 2}  .215373{col 38}{space 1}    0.67{col 47}{space 3}0.504{col 55}{space 4} -.288358{col 68}{space 3} .5786886
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.6844554{col 27}{space 2} .3066749{col 38}{space 1}   -2.23{col 47}{space 3}0.031{col 55}{space 4} -1.30176{col 68}{space 3}-.0671509
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.8051569{col 27}{space 2} .3097647{col 38}{space 1}   -2.60{col 47}{space 3}0.013{col 55}{space 4}-1.428681{col 68}{space 3}-.1816329
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.778717{col 27}{space 2} 2.267145{col 38}{space 1}   -1.67{col 47}{space 3}0.102{col 55}{space 4}-8.342244{col 68}{space 3} .7848102
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, cluster(ccode)

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(17, 46)         =  {res}   220.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6464
                                                {txt}Root MSE          =    {res} .99557

{txt}{ralign 79:(Std. Err. adjusted for {res:47} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.1918549{col 27}{space 2} .2068311{col 38}{space 1}   -0.93{col 47}{space 3}0.358{col 55}{space 4}-.6081842{col 68}{space 3} .2244745
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .7682146{col 27}{space 2}  .395072{col 38}{space 1}    1.94{col 47}{space 3}0.058{col 55}{space 4} -.027024{col 68}{space 3} 1.563453
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1998463{col 27}{space 2} .0996069{col 38}{space 1}    2.01{col 47}{space 3}0.051{col 55}{space 4} -.000652{col 68}{space 3} .4003446
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}   .20343{col 27}{space 2} .0726357{col 38}{space 1}    2.80{col 47}{space 3}0.007{col 55}{space 4}  .057222{col 68}{space 3}  .349638
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0540665{col 27}{space 2} .0222721{col 38}{space 1}   -2.43{col 47}{space 3}0.019{col 55}{space 4} -.098898{col 68}{space 3} -.009235
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0185862{col 27}{space 2} .0420448{col 38}{space 1}    0.44{col 47}{space 3}0.661{col 55}{space 4}-.0660455{col 68}{space 3} .1032179
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.0912979{col 27}{space 2} .1242723{col 38}{space 1}   -0.73{col 47}{space 3}0.466{col 55}{space 4}-.3414451{col 68}{space 3} .1588492
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.7953046{col 27}{space 2}  .479181{col 38}{space 1}   -1.66{col 47}{space 3}0.104{col 55}{space 4}-1.759846{col 68}{space 3} .1692367
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1014181{col 27}{space 2} .1053449{col 38}{space 1}    0.96{col 47}{space 3}0.341{col 55}{space 4}-.1106302{col 68}{space 3} .3134664
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0433988{col 27}{space 2} .0997963{col 38}{space 1}   -0.43{col 47}{space 3}0.666{col 55}{space 4}-.2442784{col 68}{space 3} .1574807
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0052603{col 27}{space 2} .0022753{col 38}{space 1}    2.31{col 47}{space 3}0.025{col 55}{space 4} .0006805{col 68}{space 3} .0098402
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.8070606{col 27}{space 2} .3539923{col 38}{space 1}   -2.28{col 47}{space 3}0.027{col 55}{space 4} -1.51961{col 68}{space 3}-.0945111
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.087826{col 27}{space 2} .3756596{col 38}{space 1}    8.22{col 47}{space 3}0.000{col 55}{space 4} 2.331662{col 68}{space 3} 3.843989
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.150995{col 27}{space 2}  .334247{col 38}{space 1}   -3.44{col 47}{space 3}0.001{col 55}{space 4}-1.823799{col 68}{space 3}-.4781901
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1902325{col 27}{space 2} .1973023{col 38}{space 1}    0.96{col 47}{space 3}0.340{col 55}{space 4}-.2069164{col 68}{space 3} .5873814
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0905273{col 27}{space 2} .2196625{col 38}{space 1}   -0.41{col 47}{space 3}0.682{col 55}{space 4}-.5326851{col 68}{space 3} .3516304
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0557269{col 27}{space 2} .2504721{col 38}{space 1}   -0.22{col 47}{space 3}0.825{col 55}{space 4}-.5599011{col 68}{space 3} .4484472
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.273315{col 27}{space 2} 1.520077{col 38}{space 1}   -1.50{col 47}{space 3}0.142{col 55}{space 4}-5.333071{col 68}{space 3} .7864415
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_cluster.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_cluster.tex"'})

{com}. eststo clear
{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe  empowerscore3  $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-344704.74}  
Iteration 1:{space 3}log pseudolikelihood = {res:-221713.44}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-110050.98}  
Iteration 3:{space 3}log pseudolikelihood = {res:-35987.851}  
Iteration 4:{space 3}log pseudolikelihood = {res:-30672.663}  
Iteration 5:{space 3}log pseudolikelihood = {res:-30192.634}  
Iteration 6:{space 3}log pseudolikelihood = {res:-30191.511}  
Iteration 7:{space 3}log pseudolikelihood = {res:-30191.511}  
Iteration 8:{space 3}log pseudolikelihood = {res:-30191.511}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3459.2424}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3250.2588}  
Iteration 2:{space 3}log pseudolikelihood = {res: -3180.363}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3073.7282}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3066.1725}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3066.1278}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3066.1278}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}  11099.40
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3066.1278{txt}{col 49}Pseudo R2{col 67}= {res}    0.1293

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .2248328{col 27}{space 2} .1748014{col 38}{space 1}    1.29{col 47}{space 3}0.198{col 55}{space 4}-.1177716{col 68}{space 3} .5674372
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1579459{col 27}{space 2} .0812161{col 38}{space 1}    1.94{col 47}{space 3}0.052{col 55}{space 4}-.0012347{col 68}{space 3} .3171264
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} 1.037621{col 27}{space 2} .0661945{col 38}{space 1}   15.68{col 47}{space 3}0.000{col 55}{space 4} .9078821{col 68}{space 3}  1.16736
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0838089{col 27}{space 2} .0182835{col 38}{space 1}   -4.58{col 47}{space 3}0.000{col 55}{space 4}-.1196438{col 68}{space 3} -.047974
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0063953{col 27}{space 2} .0446073{col 38}{space 1}   -0.14{col 47}{space 3}0.886{col 55}{space 4}-.0938239{col 68}{space 3} .0810334
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .5215556{col 27}{space 2} .1308983{col 38}{space 1}    3.98{col 47}{space 3}0.000{col 55}{space 4} .2649997{col 68}{space 3} .7781114
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}  -.01677{col 27}{space 2} .5609572{col 38}{space 1}   -0.03{col 47}{space 3}0.976{col 55}{space 4}-1.116226{col 68}{space 3} 1.082686
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.1136342{col 27}{space 2} .0851502{col 38}{space 1}   -1.33{col 47}{space 3}0.182{col 55}{space 4}-.2805254{col 68}{space 3} .0532571
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}  .003754{col 27}{space 2} .1492096{col 38}{space 1}    0.03{col 47}{space 3}0.980{col 55}{space 4}-.2886915{col 68}{space 3} .2961994
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0099028{col 27}{space 2} .0013357{col 38}{space 1}    7.41{col 47}{space 3}0.000{col 55}{space 4}  .007285{col 68}{space 3} .0125206
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-22.08082{col 27}{space 2} .4373093{col 38}{space 1}  -50.49{col 47}{space 3}0.000{col 55}{space 4}-22.93793{col 68}{space 3}-21.22371
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .4048319{col 27}{space 2} .3360674{col 38}{space 1}    1.20{col 47}{space 3}0.228{col 55}{space 4}-.2538481{col 68}{space 3} 1.063512
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.199493{col 27}{space 2} .2734103{col 38}{space 1}   -4.39{col 47}{space 3}0.000{col 55}{space 4}-1.735368{col 68}{space 3}-.6636189
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1540141{col 27}{space 2} .1895844{col 38}{space 1}    0.81{col 47}{space 3}0.417{col 55}{space 4}-.2175645{col 68}{space 3} .5255928
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.4596631{col 27}{space 2} .1958453{col 38}{space 1}   -2.35{col 47}{space 3}0.019{col 55}{space 4}-.8435128{col 68}{space 3}-.0758133
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.029907{col 27}{space 2} .2584282{col 38}{space 1}   -3.99{col 47}{space 3}0.000{col 55}{space 4}-1.536417{col 68}{space 3}-.5233975
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-13.39771{col 27}{space 2} 1.473394{col 38}{space 1}   -9.09{col 47}{space 3}0.000{col 55}{space 4}-16.28551{col 68}{space 3}-10.50991
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.038755{col 27}{space 2} .0547241{col 55}{space 4} .9314979{col 68}{space 3} 1.146012
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.825697{col 27}{space 2} .1546338{col 55}{space 4} 2.538308{col 68}{space 3} 3.145624
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe  empowerscore3  $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-116983.52}  
Iteration 1:{space 3}log pseudolikelihood = {res:-66053.536}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-31409.135}  
Iteration 3:{space 3}log pseudolikelihood = {res:-13938.762}  
Iteration 4:{space 3}log pseudolikelihood = {res:-10280.214}  
Iteration 5:{space 3}log pseudolikelihood = {res: -10230.64}  
Iteration 6:{space 3}log pseudolikelihood = {res:-10230.409}  
Iteration 7:{space 3}log pseudolikelihood = {res:-10230.403}  
Iteration 8:{space 3}log pseudolikelihood = {res:-10230.403}  
Iteration 9:{space 3}log pseudolikelihood = {res:-10230.403}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2387.9311}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2261.0831}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2232.1714}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2069.3407}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2031.4775}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2030.4277}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2030.4191}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2030.4191}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   1632.70
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2030.4191{txt}{col 49}Pseudo R2{col 67}= {res}    0.1497

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .7228314{col 27}{space 2} .2675765{col 38}{space 1}    2.70{col 47}{space 3}0.007{col 55}{space 4}  .198391{col 68}{space 3} 1.247272
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .5011628{col 27}{space 2} .1083023{col 38}{space 1}    4.63{col 47}{space 3}0.000{col 55}{space 4} .2888942{col 68}{space 3} .7134315
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .8365887{col 27}{space 2} .0817197{col 38}{space 1}   10.24{col 47}{space 3}0.000{col 55}{space 4}  .676421{col 68}{space 3} .9967563
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0178353{col 27}{space 2}   .02371{col 38}{space 1}   -0.75{col 47}{space 3}0.452{col 55}{space 4} -.064306{col 68}{space 3} .0286355
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .4758197{col 27}{space 2} .0746204{col 38}{space 1}    6.38{col 47}{space 3}0.000{col 55}{space 4} .3295664{col 68}{space 3} .6220729
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0262804{col 27}{space 2} .2173263{col 38}{space 1}    0.12{col 47}{space 3}0.904{col 55}{space 4}-.3996712{col 68}{space 3} .4522321
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.746639{col 27}{space 2} .7597058{col 38}{space 1}   -2.30{col 47}{space 3}0.021{col 55}{space 4}-3.235635{col 68}{space 3}-.2576433
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1429908{col 27}{space 2} .1657004{col 38}{space 1}    0.86{col 47}{space 3}0.388{col 55}{space 4}-.1817761{col 68}{space 3} .4677577
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0032263{col 27}{space 2} .1524015{col 38}{space 1}    0.02{col 47}{space 3}0.983{col 55}{space 4}-.2954751{col 68}{space 3} .3019277
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0073947{col 27}{space 2} .0011586{col 38}{space 1}    6.38{col 47}{space 3}0.000{col 55}{space 4} .0051238{col 68}{space 3} .0096655
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-22.29012{col 27}{space 2} .9103985{col 38}{space 1}  -24.48{col 47}{space 3}0.000{col 55}{space 4}-24.07446{col 68}{space 3}-20.50577
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.047139{col 27}{space 2} .3521333{col 38}{space 1}    8.65{col 47}{space 3}0.000{col 55}{space 4} 2.356971{col 68}{space 3} 3.737308
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-2.002137{col 27}{space 2} .4373571{col 38}{space 1}   -4.58{col 47}{space 3}0.000{col 55}{space 4}-2.859341{col 68}{space 3}-1.144933
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2}-.0501378{col 27}{space 2} .1721284{col 38}{space 1}   -0.29{col 47}{space 3}0.771{col 55}{space 4}-.3875032{col 68}{space 3} .2872276
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.3286901{col 27}{space 2} .3207997{col 38}{space 1}   -1.02{col 47}{space 3}0.306{col 55}{space 4} -.957446{col 68}{space 3} .3000658
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.391206{col 27}{space 2} .3429693{col 38}{space 1}   -4.06{col 47}{space 3}0.000{col 55}{space 4}-2.063413{col 68}{space 3}-.7189983
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-14.43305{col 27}{space 2} 2.657059{col 38}{space 1}   -5.43{col 47}{space 3}0.000{col 55}{space 4}-19.64079{col 68}{space 3}-9.225307
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.328371{col 27}{space 2} .0854717{col 55}{space 4}  1.16085{col 68}{space 3} 1.495893
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 3.774891{col 27}{space 2} .3226465{col 55}{space 4} 3.192646{col 68}{space 3}  4.46332
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe  empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(16, 1111)       =  {res}    66.69
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6147
                                                {txt}Root MSE          =    {res} 1.2621

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .1297049{col 27}{space 2} .1245041{col 38}{space 1}    1.04{col 47}{space 3}0.298{col 55}{space 4}-.1145848{col 68}{space 3} .3739945
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1109023{col 27}{space 2} .0387562{col 38}{space 1}    2.86{col 47}{space 3}0.004{col 55}{space 4} .0348586{col 68}{space 3} .1869459
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .3134783{col 27}{space 2} .0366166{col 38}{space 1}    8.56{col 47}{space 3}0.000{col 55}{space 4} .2416328{col 68}{space 3} .3853238
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0298436{col 27}{space 2} .0097953{col 38}{space 1}   -3.05{col 47}{space 3}0.002{col 55}{space 4}-.0490629{col 68}{space 3}-.0106243
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0232372{col 27}{space 2} .0232996{col 38}{space 1}    1.00{col 47}{space 3}0.319{col 55}{space 4} -.022479{col 68}{space 3} .0689534
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3955127{col 27}{space 2} .0856415{col 38}{space 1}    4.62{col 47}{space 3}0.000{col 55}{space 4} .2274754{col 68}{space 3}   .56355
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.2717352{col 27}{space 2} .3029896{col 38}{space 1}   -0.90{col 47}{space 3}0.370{col 55}{space 4}-.8662315{col 68}{space 3} .3227611
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} -.050192{col 27}{space 2} .0615307{col 38}{space 1}   -0.82{col 47}{space 3}0.415{col 55}{space 4}-.1709215{col 68}{space 3} .0705375
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0713984{col 27}{space 2} .0974256{col 38}{space 1}    0.73{col 47}{space 3}0.464{col 55}{space 4}-.1197606{col 68}{space 3} .2625574
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2}  .011816{col 27}{space 2} .0010325{col 38}{space 1}   11.44{col 47}{space 3}0.000{col 55}{space 4} .0097901{col 68}{space 3}  .013842
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.6651917{col 27}{space 2} .1898696{col 38}{space 1}   -3.50{col 47}{space 3}0.000{col 55}{space 4}-1.037735{col 68}{space 3}-.2926483
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 1.488464{col 27}{space 2}  .239419{col 38}{space 1}    6.22{col 47}{space 3}0.000{col 55}{space 4} 1.018699{col 68}{space 3} 1.958228
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.1992312{col 27}{space 2} .1653544{col 38}{space 1}   -1.20{col 47}{space 3}0.229{col 55}{space 4}-.5236733{col 68}{space 3} .1252109
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1491012{col 27}{space 2} .1301307{col 38}{space 1}    1.15{col 47}{space 3}0.252{col 55}{space 4}-.1062285{col 68}{space 3}  .404431
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.6818898{col 27}{space 2} .1358286{col 38}{space 1}   -5.02{col 47}{space 3}0.000{col 55}{space 4}-.9483994{col 68}{space 3}-.4153803
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.7938443{col 27}{space 2} .1552522{col 38}{space 1}   -5.11{col 47}{space 3}0.000{col 55}{space 4}-1.098465{col 68}{space 3}-.4892236
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.759904{col 27}{space 2} .9800501{col 38}{space 1}   -3.84{col 47}{space 3}0.000{col 55}{space 4}-5.682862{col 68}{space 3}-1.836946
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe  empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(16, 1111)       =  {res}    74.44
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6271
                                                {txt}Root MSE          =    {res} 1.0218

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .3820385{col 27}{space 2} .0871433{col 38}{space 1}    4.38{col 47}{space 3}0.000{col 55}{space 4} .2110546{col 68}{space 3} .5530225
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3145366{col 27}{space 2} .0377515{col 38}{space 1}    8.33{col 47}{space 3}0.000{col 55}{space 4} .2404643{col 68}{space 3} .3886089
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .1907675{col 27}{space 2} .0276731{col 38}{space 1}    6.89{col 47}{space 3}0.000{col 55}{space 4} .1364699{col 68}{space 3}  .245065
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0615125{col 27}{space 2} .0082556{col 38}{space 1}   -7.45{col 47}{space 3}0.000{col 55}{space 4}-.0777108{col 68}{space 3}-.0453142
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0254358{col 27}{space 2} .0161233{col 38}{space 1}    1.58{col 47}{space 3}0.115{col 55}{space 4}-.0061998{col 68}{space 3} .0570714
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.0935797{col 27}{space 2} .0590872{col 38}{space 1}   -1.58{col 47}{space 3}0.114{col 55}{space 4}-.2095148{col 68}{space 3} .0223553
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.6578534{col 27}{space 2} .2031998{col 38}{space 1}   -3.24{col 47}{space 3}0.001{col 55}{space 4}-1.056552{col 68}{space 3}-.2591548
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1372832{col 27}{space 2} .0414403{col 38}{space 1}    3.31{col 47}{space 3}0.001{col 55}{space 4} .0559731{col 68}{space 3} .2185933
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0399951{col 27}{space 2}  .079511{col 38}{space 1}   -0.50{col 47}{space 3}0.615{col 55}{space 4}-.1960037{col 68}{space 3} .1160135
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0054771{col 27}{space 2} .0008709{col 38}{space 1}    6.29{col 47}{space 3}0.000{col 55}{space 4} .0037683{col 68}{space 3} .0071859
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2} -.900569{col 27}{space 2} .1496302{col 38}{space 1}   -6.02{col 47}{space 3}0.000{col 55}{space 4}-1.194159{col 68}{space 3}-.6069793
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.317332{col 27}{space 2} .2042095{col 38}{space 1}   16.24{col 47}{space 3}0.000{col 55}{space 4} 2.916652{col 68}{space 3} 3.718012
{txt}{space 11}7  {c |}{col 15}{res}{space 2} -1.23833{col 27}{space 2}  .132126{col 38}{space 1}   -9.37{col 47}{space 3}0.000{col 55}{space 4}-1.497574{col 68}{space 3}-.9790853
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2}  .172739{col 27}{space 2}  .114874{col 38}{space 1}    1.50{col 47}{space 3}0.133{col 55}{space 4}-.0526555{col 68}{space 3} .3981335
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.1019299{col 27}{space 2} .0990269{col 38}{space 1}   -1.03{col 47}{space 3}0.304{col 55}{space 4}-.2962308{col 68}{space 3} .0923709
{txt}{space 9}200  {c |}{col 15}{res}{space 2} -.106006{col 27}{space 2} .1037057{col 38}{space 1}   -1.02{col 47}{space 3}0.307{col 55}{space 4}-.3094872{col 68}{space 3} .0974752
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} -2.35693{col 27}{space 2} .6893764{col 38}{space 1}   -3.42{col 47}{space 3}0.001{col 55}{space 4}-3.709557{col 68}{space 3}-1.004304
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "constituent_parts.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"constituent_parts.tex"'})

{com}. eststo clear
{txt}
{com}. 
. //Varied Time Frame
. 
. eststo clear
{txt}
{com}. eststo: nbreg d_2 declaredsoe soe_emp empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-274183.58}  
Iteration 1:{space 3}log pseudolikelihood = {res:-225200.46}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-117948.48}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-82926.939}  
Iteration 4:{space 3}log pseudolikelihood = {res:-23963.446}  
Iteration 5:{space 3}log pseudolikelihood = {res:-20941.424}  
Iteration 6:{space 3}log pseudolikelihood = {res:-20650.859}  
Iteration 7:{space 3}log pseudolikelihood = {res:-20650.329}  
Iteration 8:{space 3}log pseudolikelihood = {res:-20650.328}  
Iteration 9:{space 3}log pseudolikelihood = {res:-20650.328}  
Iteration 10:{space 2}log pseudolikelihood = {res:-20650.328}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4926.0209}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3154.1087}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3154.0006}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3154.0006}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3092.3417}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2897.0123}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2763.8359}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2724.5592}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2722.8465}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2722.8442}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2722.8442}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,130
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}  11849.82
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2722.8442{txt}{col 49}Pseudo R2{col 67}= {res}    0.1367

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_2{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .6970331{col 27}{space 2} .2584578{col 38}{space 1}    2.70{col 47}{space 3}0.007{col 55}{space 4} .1904651{col 68}{space 3} 1.203601
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.7202413{col 27}{space 2} .2257479{col 38}{space 1}   -3.19{col 47}{space 3}0.001{col 55}{space 4}-1.162699{col 68}{space 3}-.2777835
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .2593176{col 27}{space 2} .0936714{col 38}{space 1}    2.77{col 47}{space 3}0.006{col 55}{space 4}  .075725{col 68}{space 3} .4429102
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}  1.02387{col 27}{space 2} .0675552{col 38}{space 1}   15.16{col 47}{space 3}0.000{col 55}{space 4} .8914645{col 68}{space 3} 1.156276
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.1031071{col 27}{space 2}  .020495{col 38}{space 1}   -5.03{col 47}{space 3}0.000{col 55}{space 4}-.1432765{col 68}{space 3}-.0629376
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0138649{col 27}{space 2} .0419841{col 38}{space 1}    0.33{col 47}{space 3}0.741{col 55}{space 4}-.0684225{col 68}{space 3} .0961523
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .4743913{col 27}{space 2} .1384119{col 38}{space 1}    3.43{col 47}{space 3}0.001{col 55}{space 4} .2031091{col 68}{space 3} .7456736
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .3577115{col 27}{space 2} .6059109{col 38}{space 1}    0.59{col 47}{space 3}0.555{col 55}{space 4}-.8298521{col 68}{space 3} 1.545275
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0821206{col 27}{space 2} .0862575{col 38}{space 1}   -0.95{col 47}{space 3}0.341{col 55}{space 4}-.2511823{col 68}{space 3}  .086941
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}  .019344{col 27}{space 2} .1472046{col 38}{space 1}    0.13{col 47}{space 3}0.895{col 55}{space 4}-.2691717{col 68}{space 3} .3078597
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0099763{col 27}{space 2} .0013387{col 38}{space 1}    7.45{col 47}{space 3}0.000{col 55}{space 4} .0073525{col 68}{space 3}    .0126
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-23.10404{col 27}{space 2} .4131345{col 38}{space 1}  -55.92{col 47}{space 3}0.000{col 55}{space 4}-23.91377{col 68}{space 3}-22.29431
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .7108176{col 27}{space 2} .3264901{col 38}{space 1}    2.18{col 47}{space 3}0.029{col 55}{space 4} .0709088{col 68}{space 3} 1.350726
{txt}{space 11}7  {c |}{col 15}{res}{space 2} -1.23259{col 27}{space 2}  .276342{col 38}{space 1}   -4.46{col 47}{space 3}0.000{col 55}{space 4} -1.77421{col 68}{space 3}-.6909692
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1207593{col 27}{space 2} .1879622{col 38}{space 1}    0.64{col 47}{space 3}0.521{col 55}{space 4}-.2476399{col 68}{space 3} .4891584
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.2428516{col 27}{space 2} .2088463{col 38}{space 1}   -1.16{col 47}{space 3}0.245{col 55}{space 4}-.6521827{col 68}{space 3} .1664796
{txt}{space 9}200  {c |}{col 15}{res}{space 2} -1.08187{col 27}{space 2} .2551082{col 38}{space 1}   -4.24{col 47}{space 3}0.000{col 55}{space 4}-1.581872{col 68}{space 3}-.5818666
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} -13.8002{col 27}{space 2} 1.541898{col 38}{space 1}   -8.95{col 47}{space 3}0.000{col 55}{space 4}-16.82226{col 68}{space 3}-10.77813
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.067806{col 27}{space 2} .0581931{col 55}{space 4} .9537497{col 68}{space 3} 1.181863
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.908991{col 27}{space 2} .1692833{col 55}{space 4} 2.595423{col 68}{space 3} 3.260441
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_2 declaredsoe soe_emp empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102552.85}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56005.741}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-38778.367}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11829.323}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9901.5332}  
Iteration 5:{space 3}log pseudolikelihood = {res:-9859.3081}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9859.1347}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9859.1129}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9859.1089}  
Iteration 9:{space 3}log pseudolikelihood = {res: -9859.108}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 11:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 12:{space 2}log pseudolikelihood = {res:-9859.1077}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2363.3811}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2202.0318}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2087.7952}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2036.5917}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2023.4496}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2023.4413}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2023.4413}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1491.73
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2023.4413{txt}{col 49}Pseudo R2{col 67}= {res}    0.1526

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_2{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.4754445{col 27}{space 2} .4573902{col 38}{space 1}   -1.04{col 47}{space 3}0.299{col 55}{space 4}-1.371913{col 68}{space 3} .4210239
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.192136{col 27}{space 2} .2880495{col 38}{space 1}    4.14{col 47}{space 3}0.000{col 55}{space 4}  .627569{col 68}{space 3} 1.756702
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3502374{col 27}{space 2} .1102126{col 38}{space 1}    3.18{col 47}{space 3}0.001{col 55}{space 4} .1342246{col 68}{space 3} .5662502
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}  .856207{col 27}{space 2} .0758168{col 38}{space 1}   11.29{col 47}{space 3}0.000{col 55}{space 4} .7076087{col 68}{space 3} 1.004805
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0225795{col 27}{space 2} .0226577{col 38}{space 1}   -1.00{col 47}{space 3}0.319{col 55}{space 4}-.0669878{col 68}{space 3} .0218287
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .5067003{col 27}{space 2} .0777617{col 38}{space 1}    6.52{col 47}{space 3}0.000{col 55}{space 4} .3542902{col 68}{space 3} .6591104
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0604718{col 27}{space 2} .2112028{col 38}{space 1}    0.29{col 47}{space 3}0.775{col 55}{space 4}-.3534781{col 68}{space 3} .4744218
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.836327{col 27}{space 2} .7633388{col 38}{space 1}   -2.41{col 47}{space 3}0.016{col 55}{space 4}-3.332444{col 68}{space 3} -.340211
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0941021{col 27}{space 2} .1590532{col 38}{space 1}    0.59{col 47}{space 3}0.554{col 55}{space 4}-.2176365{col 68}{space 3} .4058407
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0242868{col 27}{space 2} .1544246{col 38}{space 1}    0.16{col 47}{space 3}0.875{col 55}{space 4}-.2783798{col 68}{space 3} .3269534
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0067268{col 27}{space 2} .0010694{col 38}{space 1}    6.29{col 47}{space 3}0.000{col 55}{space 4} .0046309{col 68}{space 3} .0088227
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-20.19067{col 27}{space 2} .9378548{col 38}{space 1}  -21.53{col 47}{space 3}0.000{col 55}{space 4}-22.02883{col 68}{space 3}-18.35251
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 2.778671{col 27}{space 2} .3389857{col 38}{space 1}    8.20{col 47}{space 3}0.000{col 55}{space 4} 2.114271{col 68}{space 3} 3.443071
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.905865{col 27}{space 2} .4388558{col 38}{space 1}   -4.34{col 47}{space 3}0.000{col 55}{space 4}-2.766007{col 68}{space 3}-1.045723
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0227282{col 27}{space 2} .1643047{col 38}{space 1}    0.14{col 47}{space 3}0.890{col 55}{space 4} -.299303{col 68}{space 3} .3447595
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.2076093{col 27}{space 2}  .312303{col 38}{space 1}   -0.66{col 47}{space 3}0.506{col 55}{space 4}-.8197119{col 68}{space 3} .4044933
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.205593{col 27}{space 2} .3414065{col 38}{space 1}   -3.53{col 47}{space 3}0.000{col 55}{space 4}-1.874738{col 68}{space 3}-.5364485
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-14.37041{col 27}{space 2} 2.509363{col 38}{space 1}   -5.73{col 47}{space 3}0.000{col 55}{space 4}-19.28867{col 68}{space 3}-9.452149
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.299724{col 27}{space 2} .0883786{col 55}{space 4} 1.126505{col 68}{space 3} 1.472942
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 3.668283{col 27}{space 2} .3241976{col 55}{space 4} 3.084855{col 68}{space 3} 4.362051
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: nbreg d_4 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-463289.19}  
Iteration 1:{space 3}log pseudolikelihood = {res:-374061.34}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-172143.79}  
Iteration 3:{space 3}log pseudolikelihood = {res: -105033.6}  
Iteration 4:{space 3}log pseudolikelihood = {res:-41865.574}  
Iteration 5:{space 3}log pseudolikelihood = {res:-36644.792}  
Iteration 6:{space 3}log pseudolikelihood = {res:-36380.734}  
Iteration 7:{space 3}log pseudolikelihood = {res:-36380.205}  
Iteration 8:{space 3}log pseudolikelihood = {res:-36380.203}  
Iteration 9:{space 3}log pseudolikelihood = {res:-36380.203}  
Iteration 10:{space 2}log pseudolikelihood = {res:-36380.203}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5613.7659}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3788.4899}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3788.4831}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3788.4831}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3718.1638}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3497.4606}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3403.9456}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3313.1964}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3306.4603}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3306.4199}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3306.4199}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,127
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}  10725.79
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3306.4199{txt}{col 49}Pseudo R2{col 67}= {res}    0.1272

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_4{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .7242792{col 27}{space 2} .2667106{col 38}{space 1}    2.72{col 47}{space 3}0.007{col 55}{space 4} .2015361{col 68}{space 3} 1.247022
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.6490243{col 27}{space 2}  .229377{col 38}{space 1}   -2.83{col 47}{space 3}0.005{col 55}{space 4}-1.098595{col 68}{space 3}-.1994536
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .2339179{col 27}{space 2} .0865318{col 38}{space 1}    2.70{col 47}{space 3}0.007{col 55}{space 4} .0643187{col 68}{space 3} .4035171
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} 1.014176{col 27}{space 2} .0636537{col 38}{space 1}   15.93{col 47}{space 3}0.000{col 55}{space 4} .8894173{col 68}{space 3} 1.138935
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0918122{col 27}{space 2} .0186424{col 38}{space 1}   -4.92{col 47}{space 3}0.000{col 55}{space 4}-.1283506{col 68}{space 3}-.0552739
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0471526{col 27}{space 2} .0415188{col 38}{space 1}    1.14{col 47}{space 3}0.256{col 55}{space 4}-.0342227{col 68}{space 3} .1285278
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .5062749{col 27}{space 2}  .128792{col 38}{space 1}    3.93{col 47}{space 3}0.000{col 55}{space 4} .2538472{col 68}{space 3} .7587025
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .1800112{col 27}{space 2} .5516137{col 38}{space 1}    0.33{col 47}{space 3}0.744{col 55}{space 4}-.9011317{col 68}{space 3} 1.261154
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.1162864{col 27}{space 2} .0851191{col 38}{space 1}   -1.37{col 47}{space 3}0.172{col 55}{space 4}-.2831168{col 68}{space 3}  .050544
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0369383{col 27}{space 2} .1380967{col 38}{space 1}   -0.27{col 47}{space 3}0.789{col 55}{space 4}-.3076028{col 68}{space 3} .2337262
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0095939{col 27}{space 2} .0013342{col 38}{space 1}    7.19{col 47}{space 3}0.000{col 55}{space 4} .0069789{col 68}{space 3}  .012209
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-21.31232{col 27}{space 2} .3973228{col 38}{space 1}  -53.64{col 47}{space 3}0.000{col 55}{space 4}-22.09106{col 68}{space 3}-20.53358
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .7710638{col 27}{space 2} .3368263{col 38}{space 1}    2.29{col 47}{space 3}0.022{col 55}{space 4} .1108964{col 68}{space 3} 1.431231
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.198898{col 27}{space 2} .2549947{col 38}{space 1}   -4.70{col 47}{space 3}0.000{col 55}{space 4}-1.698678{col 68}{space 3}-.6991175
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0379365{col 27}{space 2}  .167658{col 38}{space 1}    0.23{col 47}{space 3}0.821{col 55}{space 4}-.2906671{col 68}{space 3} .3665401
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.5923496{col 27}{space 2} .1896334{col 38}{space 1}   -3.12{col 47}{space 3}0.002{col 55}{space 4}-.9640243{col 68}{space 3}-.2206749
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.074152{col 27}{space 2} .2535373{col 38}{space 1}   -4.24{col 47}{space 3}0.000{col 55}{space 4}-1.571075{col 68}{space 3}-.5772276
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-12.73807{col 27}{space 2} 1.483482{col 38}{space 1}   -8.59{col 47}{space 3}0.000{col 55}{space 4}-15.64564{col 68}{space 3}-9.830502
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} .9883139{col 27}{space 2}  .054289{col 55}{space 4} .8819094{col 68}{space 3} 1.094718
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.686701{col 27}{space 2} .1458583{col 55}{space 4} 2.415507{col 68}{space 3} 2.988341
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)

{com}. eststo: nbreg f_4 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-122573.66}  
Iteration 1:{space 3}log pseudolikelihood = {res: -71486.68}  
Iteration 2:{space 3}log pseudolikelihood = {res: -37404.03}  
Iteration 3:{space 3}log pseudolikelihood = {res:-13733.246}  
Iteration 4:{space 3}log pseudolikelihood = {res:-12396.594}  
Iteration 5:{space 3}log pseudolikelihood = {res:-12326.125}  
Iteration 6:{space 3}log pseudolikelihood = {res:-12325.722}  
Iteration 7:{space 3}log pseudolikelihood = {res:-12325.657}  
Iteration 8:{space 3}log pseudolikelihood = {res:-12325.646}  
Iteration 9:{space 3}log pseudolikelihood = {res:-12325.643}  
Iteration 10:{space 2}log pseudolikelihood = {res:-12325.643}  
Iteration 11:{space 2}log pseudolikelihood = {res:-12325.642}  
Iteration 12:{space 2}log pseudolikelihood = {res:-12325.642}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4817.8573}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2589.0986}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2581.7065}  
Iteration 3:{space 3}log pseudolikelihood = {res: -2581.694}  
Iteration 4:{space 3}log pseudolikelihood = {res: -2581.694}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2553.5031}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2380.8925}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2327.2183}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2231.3047}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2197.5494}  
Iteration 5:{space 3}log pseudolikelihood = {res:  -2197.28}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2197.2795}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2197.2795}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,127
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1853.25
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2197.2795{txt}{col 49}Pseudo R2{col 67}= {res}    0.1489

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_4{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.6196776{col 27}{space 2} .3931504{col 38}{space 1}   -1.58{col 47}{space 3}0.115{col 55}{space 4}-1.390238{col 68}{space 3}  .150883
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.186679{col 27}{space 2} .2473131{col 38}{space 1}    4.80{col 47}{space 3}0.000{col 55}{space 4} .7019539{col 68}{space 3} 1.671404
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .4094901{col 27}{space 2} .1140461{col 38}{space 1}    3.59{col 47}{space 3}0.000{col 55}{space 4} .1859639{col 68}{space 3} .6330164
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}  .847173{col 27}{space 2} .0728361{col 38}{space 1}   11.63{col 47}{space 3}0.000{col 55}{space 4} .7044169{col 68}{space 3} .9899292
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0245999{col 27}{space 2} .0211044{col 38}{space 1}   -1.17{col 47}{space 3}0.244{col 55}{space 4}-.0659637{col 68}{space 3} .0167639
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .4755641{col 27}{space 2} .0777639{col 38}{space 1}    6.12{col 47}{space 3}0.000{col 55}{space 4} .3231497{col 68}{space 3} .6279784
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .1751074{col 27}{space 2} .2120477{col 38}{space 1}    0.83{col 47}{space 3}0.409{col 55}{space 4}-.2404984{col 68}{space 3} .5907133
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.252184{col 27}{space 2} .7383507{col 38}{space 1}   -1.70{col 47}{space 3}0.090{col 55}{space 4}-2.699325{col 68}{space 3} .1949571
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1468532{col 27}{space 2}  .156731{col 38}{space 1}    0.94{col 47}{space 3}0.349{col 55}{space 4} -.160334{col 68}{space 3} .4540404
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0015358{col 27}{space 2} .1513798{col 38}{space 1}   -0.01{col 47}{space 3}0.992{col 55}{space 4}-.2982349{col 68}{space 3} .2951632
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0067623{col 27}{space 2} .0010202{col 38}{space 1}    6.63{col 47}{space 3}0.000{col 55}{space 4} .0047628{col 68}{space 3} .0087618
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2} -22.8767{col 27}{space 2} .8998461{col 38}{space 1}  -25.42{col 47}{space 3}0.000{col 55}{space 4}-24.64036{col 68}{space 3}-21.11303
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 2.659846{col 27}{space 2} .3379478{col 38}{space 1}    7.87{col 47}{space 3}0.000{col 55}{space 4} 1.997481{col 68}{space 3} 3.322212
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-2.013347{col 27}{space 2} .4252546{col 38}{space 1}   -4.73{col 47}{space 3}0.000{col 55}{space 4}-2.846831{col 68}{space 3}-1.179863
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} -.005797{col 27}{space 2} .1548777{col 38}{space 1}   -0.04{col 47}{space 3}0.970{col 55}{space 4}-.3093518{col 68}{space 3} .2977578
{txt}{space 9}199  {c |}{col 15}{res}{space 2} -.401591{col 27}{space 2} .2959196{col 38}{space 1}   -1.36{col 47}{space 3}0.175{col 55}{space 4}-.9815828{col 68}{space 3} .1784008
{txt}{space 9}200  {c |}{col 15}{res}{space 2} -1.34294{col 27}{space 2} .3238601{col 38}{space 1}   -4.15{col 47}{space 3}0.000{col 55}{space 4}-1.977694{col 68}{space 3}-.7081857
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-14.62799{col 27}{space 2} 2.398898{col 38}{space 1}   -6.10{col 47}{space 3}0.000{col 55}{space 4}-19.32974{col 68}{space 3}-9.926236
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.290664{col 27}{space 2} .0832362{col 55}{space 4} 1.127524{col 68}{space 3} 1.453804
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 3.635201{col 27}{space 2} .3025804{col 55}{space 4} 3.088002{col 68}{space 3} 4.279364
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est4{txt} stored)

{com}. estout using "Model_time.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology 2 Years" "Separatist 2 Years" "Political Ideology 4 Years" "Separatist 4 Years", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_time.tex"'})

{com}. eststo clear
{txt}
{com}. 
. 
. eststo clear
{txt}
{com}. eststo: reg ln_fatal_d2 declaredsoe soe_emp empowerscore3 $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,130
                                                {txt}F(17, 1112)       =  {res}    48.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6010
                                                {txt}Root MSE          =    {res} 1.1962

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d2{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .2061137{col 27}{space 2} .1482162{col 38}{space 1}    1.39{col 47}{space 3}0.165{col 55}{space 4}-.0847013{col 68}{space 3} .4969286
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.1859642{col 27}{space 2} .1403991{col 38}{space 1}   -1.32{col 47}{space 3}0.186{col 55}{space 4}-.4614412{col 68}{space 3} .0895128
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1233602{col 27}{space 2} .0363909{col 38}{space 1}    3.39{col 47}{space 3}0.001{col 55}{space 4} .0519576{col 68}{space 3} .1947628
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .2423668{col 27}{space 2} .0341997{col 38}{space 1}    7.09{col 47}{space 3}0.000{col 55}{space 4} .1752636{col 68}{space 3}   .30947
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0250862{col 27}{space 2} .0095414{col 38}{space 1}   -2.63{col 47}{space 3}0.009{col 55}{space 4}-.0438074{col 68}{space 3}-.0063651
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0241071{col 27}{space 2} .0214502{col 38}{space 1}    1.12{col 47}{space 3}0.261{col 55}{space 4}-.0179803{col 68}{space 3} .0661945
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3770532{col 27}{space 2} .0826625{col 38}{space 1}    4.56{col 47}{space 3}0.000{col 55}{space 4} .2148611{col 68}{space 3} .5392452
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.2508178{col 27}{space 2} .2823061{col 38}{space 1}   -0.89{col 47}{space 3}0.374{col 55}{space 4}-.8047305{col 68}{space 3} .3030948
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0414198{col 27}{space 2} .0571337{col 38}{space 1}   -0.72{col 47}{space 3}0.469{col 55}{space 4}-.1535218{col 68}{space 3} .0706822
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .1059313{col 27}{space 2} .0948389{col 38}{space 1}    1.12{col 47}{space 3}0.264{col 55}{space 4} -.080152{col 68}{space 3} .2920147
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0117512{col 27}{space 2} .0009914{col 38}{space 1}   11.85{col 47}{space 3}0.000{col 55}{space 4} .0098059{col 68}{space 3} .0136964
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2} -.550534{col 27}{space 2} .1853871{col 38}{space 1}   -2.97{col 47}{space 3}0.003{col 55}{space 4} -.914282{col 68}{space 3}-.1867861
{txt}{space 11}5  {c |}{col 15}{res}{space 2}  1.31159{col 27}{space 2} .2461239{col 38}{space 1}    5.33{col 47}{space 3}0.000{col 55}{space 4} .8286709{col 68}{space 3}  1.79451
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.1831997{col 27}{space 2}  .159944{col 38}{space 1}   -1.15{col 47}{space 3}0.252{col 55}{space 4}-.4970258{col 68}{space 3} .1306265
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1890048{col 27}{space 2} .1223839{col 38}{space 1}    1.54{col 47}{space 3}0.123{col 55}{space 4}-.0511246{col 68}{space 3} .4291341
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.4985181{col 27}{space 2} .1278754{col 38}{space 1}   -3.90{col 47}{space 3}0.000{col 55}{space 4}-.7494224{col 68}{space 3}-.2476138
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.5979046{col 27}{space 2} .1445443{col 38}{space 1}   -4.14{col 47}{space 3}0.000{col 55}{space 4}-.8815148{col 68}{space 3}-.3142944
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.016152{col 27}{space 2} .9230989{col 38}{space 1}   -3.27{col 47}{space 3}0.001{col 55}{space 4}-4.827364{col 68}{space 3} -1.20494
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. eststo: reg ln_fatal_f2 declaredsoe soe_emp empowerscore3 $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,130
                                                {txt}F(17, 1112)       =  {res}    53.15
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6209
                                                {txt}Root MSE          =    {res} .93762

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f2{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.1880584{col 27}{space 2} .0941544{col 38}{space 1}   -2.00{col 47}{space 3}0.046{col 55}{space 4}-.3727987{col 68}{space 3}-.0033182
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .7166291{col 27}{space 2} .1167271{col 38}{space 1}    6.14{col 47}{space 3}0.000{col 55}{space 4} .4875988{col 68}{space 3} .9456594
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1697181{col 27}{space 2} .0327653{col 38}{space 1}    5.18{col 47}{space 3}0.000{col 55}{space 4} .1054294{col 68}{space 3} .2340068
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .1601246{col 27}{space 2} .0256802{col 38}{space 1}    6.24{col 47}{space 3}0.000{col 55}{space 4} .1097376{col 68}{space 3} .2105117
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0456957{col 27}{space 2} .0081338{col 38}{space 1}   -5.62{col 47}{space 3}0.000{col 55}{space 4} -.061655{col 68}{space 3}-.0297364
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0203017{col 27}{space 2} .0146706{col 38}{space 1}    1.38{col 47}{space 3}0.167{col 55}{space 4}-.0084834{col 68}{space 3} .0490868
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.1069699{col 27}{space 2} .0558282{col 38}{space 1}   -1.92{col 47}{space 3}0.056{col 55}{space 4}-.2165104{col 68}{space 3} .0025706
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.7330755{col 27}{space 2} .1888099{col 38}{space 1}   -3.88{col 47}{space 3}0.000{col 55}{space 4}-1.103539{col 68}{space 3}-.3626117
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1004014{col 27}{space 2} .0386981{col 38}{space 1}    2.59{col 47}{space 3}0.010{col 55}{space 4} .0244718{col 68}{space 3}  .176331
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0410879{col 27}{space 2} .0736163{col 38}{space 1}    0.56{col 47}{space 3}0.577{col 55}{space 4}-.1033545{col 68}{space 3} .1855303
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0052281{col 27}{space 2}  .000753{col 38}{space 1}    6.94{col 47}{space 3}0.000{col 55}{space 4} .0037506{col 68}{space 3} .0067057
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.6036766{col 27}{space 2} .1477635{col 38}{space 1}   -4.09{col 47}{space 3}0.000{col 55}{space 4}-.8936034{col 68}{space 3}-.3137498
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 2.769295{col 27}{space 2} .2137721{col 38}{space 1}   12.95{col 47}{space 3}0.000{col 55}{space 4} 2.349852{col 68}{space 3} 3.188737
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.9189739{col 27}{space 2} .1298278{col 38}{space 1}   -7.08{col 47}{space 3}0.000{col 55}{space 4}-1.173709{col 68}{space 3}-.6642388
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1700052{col 27}{space 2} .1021212{col 38}{space 1}    1.66{col 47}{space 3}0.096{col 55}{space 4}-.0303668{col 68}{space 3} .3703772
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0089805{col 27}{space 2}  .091048{col 38}{space 1}   -0.10{col 47}{space 3}0.921{col 55}{space 4}-.1876257{col 68}{space 3} .1696648
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0043218{col 27}{space 2} .0987078{col 38}{space 1}   -0.04{col 47}{space 3}0.965{col 55}{space 4}-.1979965{col 68}{space 3} .1893528
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-1.909527{col 27}{space 2} .6415913{col 38}{space 1}   -2.98{col 47}{space 3}0.003{col 55}{space 4}-3.168393{col 68}{space 3}-.6506606
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d4 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,127
                                                {txt}F(17, 1109)       =  {res}    72.55
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6204
                                                {txt}Root MSE          =    {res} 1.3149

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d4{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .3183642{col 27}{space 2} .1571457{col 38}{space 1}    2.03{col 47}{space 3}0.043{col 55}{space 4} .0100278{col 68}{space 3} .6267007
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.2137104{col 27}{space 2} .1466003{col 38}{space 1}   -1.46{col 47}{space 3}0.145{col 55}{space 4}-.5013557{col 68}{space 3} .0739349
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1550203{col 27}{space 2} .0425821{col 38}{space 1}    3.64{col 47}{space 3}0.000{col 55}{space 4} .0714698{col 68}{space 3} .2385708
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .3629023{col 27}{space 2} .0379027{col 38}{space 1}    9.57{col 47}{space 3}0.000{col 55}{space 4} .2885333{col 68}{space 3} .4372713
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0368754{col 27}{space 2} .0105688{col 38}{space 1}   -3.49{col 47}{space 3}0.001{col 55}{space 4}-.0576125{col 68}{space 3}-.0161384
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0282771{col 27}{space 2} .0235152{col 38}{space 1}    1.20{col 47}{space 3}0.229{col 55}{space 4}-.0178621{col 68}{space 3} .0744164
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3903761{col 27}{space 2} .0878941{col 38}{space 1}    4.44{col 47}{space 3}0.000{col 55}{space 4} .2179187{col 68}{space 3} .5628336
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.2023001{col 27}{space 2} .3148974{col 38}{space 1}   -0.64{col 47}{space 3}0.521{col 55}{space 4} -.820162{col 68}{space 3} .4155618
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0452356{col 27}{space 2} .0640362{col 38}{space 1}   -0.71{col 47}{space 3}0.480{col 55}{space 4}-.1708813{col 68}{space 3} .0804102
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0624421{col 27}{space 2} .0999104{col 38}{space 1}    0.62{col 47}{space 3}0.532{col 55}{space 4}-.1335927{col 68}{space 3} .2584769
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0118882{col 27}{space 2} .0010532{col 38}{space 1}   11.29{col 47}{space 3}0.000{col 55}{space 4} .0098217{col 68}{space 3} .0139547
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.7768762{col 27}{space 2} .2042596{col 38}{space 1}   -3.80{col 47}{space 3}0.000{col 55}{space 4}-1.177655{col 68}{space 3}-.3760974
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 1.731555{col 27}{space 2} .2453656{col 38}{space 1}    7.06{col 47}{space 3}0.000{col 55}{space 4} 1.250122{col 68}{space 3} 2.212988
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.2146001{col 27}{space 2} .1769698{col 38}{space 1}   -1.21{col 47}{space 3}0.226{col 55}{space 4}-.5618336{col 68}{space 3} .1326333
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0929272{col 27}{space 2} .1360115{col 38}{space 1}    0.68{col 47}{space 3}0.495{col 55}{space 4}-.1739416{col 68}{space 3} .3597961
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.8096524{col 27}{space 2} .1440888{col 38}{space 1}   -5.62{col 47}{space 3}0.000{col 55}{space 4} -1.09237{col 68}{space 3} -.526935
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.9554718{col 27}{space 2} .1645101{col 38}{space 1}   -5.81{col 47}{space 3}0.000{col 55}{space 4}-1.278258{col 68}{space 3}-.6326857
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-4.338676{col 27}{space 2} 1.024084{col 38}{space 1}   -4.24{col 47}{space 3}0.000{col 55}{space 4}-6.348036{col 68}{space 3}-2.329315
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_d4 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,127
                                                {txt}F(17, 1109)       =  {res}    72.55
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6204
                                                {txt}Root MSE          =    {res} 1.3149

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d4{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .3183642{col 27}{space 2} .1571457{col 38}{space 1}    2.03{col 47}{space 3}0.043{col 55}{space 4} .0100278{col 68}{space 3} .6267007
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.2137104{col 27}{space 2} .1466003{col 38}{space 1}   -1.46{col 47}{space 3}0.145{col 55}{space 4}-.5013557{col 68}{space 3} .0739349
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1550203{col 27}{space 2} .0425821{col 38}{space 1}    3.64{col 47}{space 3}0.000{col 55}{space 4} .0714698{col 68}{space 3} .2385708
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .3629023{col 27}{space 2} .0379027{col 38}{space 1}    9.57{col 47}{space 3}0.000{col 55}{space 4} .2885333{col 68}{space 3} .4372713
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0368754{col 27}{space 2} .0105688{col 38}{space 1}   -3.49{col 47}{space 3}0.001{col 55}{space 4}-.0576125{col 68}{space 3}-.0161384
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0282771{col 27}{space 2} .0235152{col 38}{space 1}    1.20{col 47}{space 3}0.229{col 55}{space 4}-.0178621{col 68}{space 3} .0744164
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3903761{col 27}{space 2} .0878941{col 38}{space 1}    4.44{col 47}{space 3}0.000{col 55}{space 4} .2179187{col 68}{space 3} .5628336
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.2023001{col 27}{space 2} .3148974{col 38}{space 1}   -0.64{col 47}{space 3}0.521{col 55}{space 4} -.820162{col 68}{space 3} .4155618
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0452356{col 27}{space 2} .0640362{col 38}{space 1}   -0.71{col 47}{space 3}0.480{col 55}{space 4}-.1708813{col 68}{space 3} .0804102
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0624421{col 27}{space 2} .0999104{col 38}{space 1}    0.62{col 47}{space 3}0.532{col 55}{space 4}-.1335927{col 68}{space 3} .2584769
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0118882{col 27}{space 2} .0010532{col 38}{space 1}   11.29{col 47}{space 3}0.000{col 55}{space 4} .0098217{col 68}{space 3} .0139547
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.7768762{col 27}{space 2} .2042596{col 38}{space 1}   -3.80{col 47}{space 3}0.000{col 55}{space 4}-1.177655{col 68}{space 3}-.3760974
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 1.731555{col 27}{space 2} .2453656{col 38}{space 1}    7.06{col 47}{space 3}0.000{col 55}{space 4} 1.250122{col 68}{space 3} 2.212988
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.2146001{col 27}{space 2} .1769698{col 38}{space 1}   -1.21{col 47}{space 3}0.226{col 55}{space 4}-.5618336{col 68}{space 3} .1326333
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0929272{col 27}{space 2} .1360115{col 38}{space 1}    0.68{col 47}{space 3}0.495{col 55}{space 4}-.1739416{col 68}{space 3} .3597961
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.8096524{col 27}{space 2} .1440888{col 38}{space 1}   -5.62{col 47}{space 3}0.000{col 55}{space 4} -1.09237{col 68}{space 3} -.526935
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.9554718{col 27}{space 2} .1645101{col 38}{space 1}   -5.81{col 47}{space 3}0.000{col 55}{space 4}-1.278258{col 68}{space 3}-.6326857
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-4.338676{col 27}{space 2} 1.024084{col 38}{space 1}   -4.24{col 47}{space 3}0.000{col 55}{space 4}-6.348036{col 68}{space 3}-2.329315
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_time_f.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology 2 Years" "Separatist 2 Years" "Political Ideology 4 Years" "Separatist 4 Years", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_time_f.tex"'})

{com}. eststo clear
{txt}
{com}. 
. //INEP
. 
. gen soe_inep=guessbenefitinep*declaredsoe
{txt}(7,599 missing values generated)

{com}. gen soe_inep_cost=guesscostinep*declaredsoe
{txt}(7,599 missing values generated)

{com}. 
. label var soe_inep "Declared State of Emergency * INEP Benefits"
{txt}
{com}. label var guesscostinep "INEP Costs"
{txt}
{com}. label var guessbenefitinep "INEP Benefits"
{txt}
{com}. 
.         global X lnpop gdpcap gy1 civ_lib polconiii polity2 lagmid lagterr 
{txt}
{com}. 
.         
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_inep guessbenefitinep  $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-350456.93}  
Iteration 1:{space 3}log pseudolikelihood = {res:-302621.33}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-164368.95}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-69819.328}  
Iteration 4:{space 3}log pseudolikelihood = {res:-42430.666}  
Iteration 5:{space 3}log pseudolikelihood = {res:-30141.135}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29288.907}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29275.368}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29275.364}  
Iteration 9:{space 3}log pseudolikelihood = {res:-29275.364}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3473.5469}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3247.9412}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3105.3504}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3066.6924}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3065.1092}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3065.1073}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3065.1073}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}  16401.42
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3065.1073{txt}{col 49}Pseudo R2{col 67}= {res}    0.1296

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}             d_3{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}declaredsoe {c |}{col 18}{res}{space 2} .6421055{col 30}{space 2} .2873687{col 41}{space 1}    2.23{col 50}{space 3}0.025{col 58}{space 4} .0788732{col 71}{space 3} 1.205338
{txt}{space 8}soe_inep {c |}{col 18}{res}{space 2}-1.299263{col 30}{space 2} .8737742{col 41}{space 1}   -1.49{col 50}{space 3}0.137{col 58}{space 4}-3.011829{col 71}{space 3} .4133026
{txt}guessbenefitinep {c |}{col 18}{res}{space 2} .8184098{col 30}{space 2} .3384797{col 41}{space 1}    2.42{col 50}{space 3}0.016{col 58}{space 4} .1550018{col 71}{space 3} 1.481818
{txt}{space 11}lnpop {c |}{col 18}{res}{space 2} 1.022165{col 30}{space 2} .0652948{col 41}{space 1}   15.65{col 50}{space 3}0.000{col 58}{space 4} .8941895{col 71}{space 3}  1.15014
{txt}{space 10}gdpcap {c |}{col 18}{res}{space 2} -.087097{col 30}{space 2} .0180069{col 41}{space 1}   -4.84{col 50}{space 3}0.000{col 58}{space 4}-.1223898{col 71}{space 3}-.0518041
{txt}{space 13}gy1 {c |}{col 18}{res}{space 2}  .007726{col 30}{space 2} .0430603{col 41}{space 1}    0.18{col 50}{space 3}0.858{col 58}{space 4}-.0766706{col 71}{space 3} .0921227
{txt}{space 9}civ_lib {c |}{col 18}{res}{space 2} .4877714{col 30}{space 2} .1324528{col 41}{space 1}    3.68{col 50}{space 3}0.000{col 58}{space 4} .2281686{col 71}{space 3} .7473742
{txt}{space 7}polconiii {c |}{col 18}{res}{space 2} .0093784{col 30}{space 2} .5571369{col 41}{space 1}    0.02{col 50}{space 3}0.987{col 58}{space 4} -1.08259{col 71}{space 3} 1.101347
{txt}{space 9}polity2 {c |}{col 18}{res}{space 2}-.1041993{col 30}{space 2} .0873263{col 41}{space 1}   -1.19{col 50}{space 3}0.233{col 58}{space 4}-.2753557{col 71}{space 3} .0669571
{txt}{space 10}lagmid {c |}{col 18}{res}{space 2} .0182942{col 30}{space 2} .1483462{col 41}{space 1}    0.12{col 50}{space 3}0.902{col 58}{space 4}-.2724591{col 71}{space 3} .3090474
{txt}{space 9}lagterr {c |}{col 18}{res}{space 2} .0097456{col 30}{space 2} .0013592{col 41}{space 1}    7.17{col 50}{space 3}0.000{col 58}{space 4} .0070815{col 71}{space 3} .0124096
{txt}{space 16} {c |}
{space 10}region {c |}
{space 14}2  {c |}{col 18}{res}{space 2}-25.95098{col 30}{space 2} .4113696{col 41}{space 1}  -63.08{col 50}{space 3}0.000{col 58}{space 4}-26.75725{col 71}{space 3}-25.14471
{txt}{space 14}5  {c |}{col 18}{res}{space 2} .6970236{col 30}{space 2} .3643544{col 41}{space 1}    1.91{col 50}{space 3}0.056{col 58}{space 4}-.0170979{col 71}{space 3} 1.411145
{txt}{space 14}7  {c |}{col 18}{res}{space 2}-1.030245{col 30}{space 2} .2805667{col 41}{space 1}   -3.67{col 50}{space 3}0.000{col 58}{space 4}-1.580145{col 71}{space 3} -.480344
{txt}{space 16} {c |}
{space 10}decade {c |}
{space 12}198  {c |}{col 18}{res}{space 2} .1618971{col 30}{space 2} .1915863{col 41}{space 1}    0.85{col 50}{space 3}0.398{col 58}{space 4} -.213605{col 71}{space 3} .5373993
{txt}{space 12}199  {c |}{col 18}{res}{space 2}-.4333502{col 30}{space 2} .1937755{col 41}{space 1}   -2.24{col 50}{space 3}0.025{col 58}{space 4}-.8131432{col 71}{space 3}-.0535572
{txt}{space 12}200  {c |}{col 18}{res}{space 2}-.9936209{col 30}{space 2} .2518685{col 41}{space 1}   -3.94{col 50}{space 3}0.000{col 58}{space 4}-1.487274{col 71}{space 3}-.4999677
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-13.44716{col 30}{space 2} 1.474621{col 41}{space 1}   -9.12{col 50}{space 3}0.000{col 58}{space 4}-16.33736{col 71}{space 3}-10.55695
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}/lnalpha {c |}{col 18}{res}{space 2} 1.030843{col 30}{space 2} .0559027{col 58}{space 4} .9212753{col 71}{space 3}  1.14041
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           alpha {c |}{col 18}{res}{space 2} 2.803427{col 30}{space 2} .1567192{col 58}{space 4} 2.512493{col 71}{space 3}  3.12805
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_inep guessbenefitinep  $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-85632.356}  
Iteration 1:{space 3}log pseudolikelihood = {res:-51157.034}  
Iteration 2:{space 3}log pseudolikelihood = {res:-25094.956}  
Iteration 3:{space 3}log pseudolikelihood = {res: -12629.77}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9121.0364}  
Iteration 5:{space 3}log pseudolikelihood = {res:-8944.1019}  
Iteration 6:{space 3}log pseudolikelihood = {res:-8942.9411}  
Iteration 7:{space 3}log pseudolikelihood = {res:-8942.9342}  
Iteration 8:{space 3}log pseudolikelihood = {res:-8942.9336}  
Iteration 9:{space 3}log pseudolikelihood = {res:-8942.9335}  
Iteration 10:{space 2}log pseudolikelihood = {res:-8942.9335}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -2352.663}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2199.5179}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2077.6201}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2028.9317}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2018.7917}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2018.7888}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2018.7888}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   3010.82
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2018.7888{txt}{col 49}Pseudo R2{col 67}= {res}    0.1546

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}             f_3{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}declaredsoe {c |}{col 18}{res}{space 2} .7694348{col 30}{space 2} .5842907{col 41}{space 1}    1.32{col 50}{space 3}0.188{col 58}{space 4}-.3757541{col 71}{space 3} 1.914624
{txt}{space 8}soe_inep {c |}{col 18}{res}{space 2} .7528522{col 30}{space 2} 1.298259{col 41}{space 1}    0.58{col 50}{space 3}0.562{col 58}{space 4}-1.791689{col 71}{space 3} 3.297393
{txt}guessbenefitinep {c |}{col 18}{res}{space 2} 2.486998{col 30}{space 2} .4272438{col 41}{space 1}    5.82{col 50}{space 3}0.000{col 58}{space 4} 1.649616{col 71}{space 3}  3.32438
{txt}{space 11}lnpop {c |}{col 18}{res}{space 2} .7443217{col 30}{space 2} .0802975{col 41}{space 1}    9.27{col 50}{space 3}0.000{col 58}{space 4} .5869415{col 71}{space 3} .9017019
{txt}{space 10}gdpcap {c |}{col 18}{res}{space 2}-.0533046{col 30}{space 2} .0258654{col 41}{space 1}   -2.06{col 50}{space 3}0.039{col 58}{space 4}    -.104{col 71}{space 3}-.0026093
{txt}{space 13}gy1 {c |}{col 18}{res}{space 2} .4625068{col 30}{space 2} .0687539{col 41}{space 1}    6.73{col 50}{space 3}0.000{col 58}{space 4} .3277516{col 71}{space 3}  .597262
{txt}{space 9}civ_lib {c |}{col 18}{res}{space 2}-.0909272{col 30}{space 2} .2107031{col 41}{space 1}   -0.43{col 50}{space 3}0.666{col 58}{space 4}-.5038978{col 71}{space 3} .3220434
{txt}{space 7}polconiii {c |}{col 18}{res}{space 2}-1.810774{col 30}{space 2} .7795769{col 41}{space 1}   -2.32{col 50}{space 3}0.020{col 58}{space 4}-3.338716{col 71}{space 3} -.282831
{txt}{space 9}polity2 {c |}{col 18}{res}{space 2} .2866222{col 30}{space 2} .1851468{col 41}{space 1}    1.55{col 50}{space 3}0.122{col 58}{space 4}-.0762589{col 71}{space 3} .6495033
{txt}{space 10}lagmid {c |}{col 18}{res}{space 2} .0193967{col 30}{space 2} .1490453{col 41}{space 1}    0.13{col 50}{space 3}0.896{col 58}{space 4}-.2727266{col 71}{space 3} .3115201
{txt}{space 9}lagterr {c |}{col 18}{res}{space 2} .0068108{col 30}{space 2}  .001101{col 41}{space 1}    6.19{col 50}{space 3}0.000{col 58}{space 4}  .004653{col 71}{space 3} .0089687
{txt}{space 16} {c |}
{space 10}region {c |}
{space 14}2  {c |}{col 18}{res}{space 2}-19.80934{col 30}{space 2} .6462304{col 41}{space 1}  -30.65{col 50}{space 3}0.000{col 58}{space 4}-21.07592{col 71}{space 3}-18.54275
{txt}{space 14}5  {c |}{col 18}{res}{space 2} 2.911253{col 30}{space 2}  .356812{col 41}{space 1}    8.16{col 50}{space 3}0.000{col 58}{space 4} 2.211915{col 71}{space 3} 3.610592
{txt}{space 14}7  {c |}{col 18}{res}{space 2}-1.844464{col 30}{space 2} .3926286{col 41}{space 1}   -4.70{col 50}{space 3}0.000{col 58}{space 4}-2.614002{col 71}{space 3}-1.074926
{txt}{space 16} {c |}
{space 10}decade {c |}
{space 12}198  {c |}{col 18}{res}{space 2}-.0431483{col 30}{space 2} .1833369{col 41}{space 1}   -0.24{col 50}{space 3}0.814{col 58}{space 4}-.4024819{col 71}{space 3} .3161854
{txt}{space 12}199  {c |}{col 18}{res}{space 2}-.2777838{col 30}{space 2} .3157433{col 41}{space 1}   -0.88{col 50}{space 3}0.379{col 58}{space 4}-.8966294{col 71}{space 3} .3410618
{txt}{space 12}200  {c |}{col 18}{res}{space 2}-1.199131{col 30}{space 2} .3029114{col 41}{space 1}   -3.96{col 50}{space 3}0.000{col 58}{space 4}-1.792827{col 71}{space 3}-.6054359
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-14.18154{col 30}{space 2} 2.850435{col 41}{space 1}   -4.98{col 50}{space 3}0.000{col 58}{space 4} -19.7683{col 71}{space 3}-8.594794
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}/lnalpha {c |}{col 18}{res}{space 2} 1.267014{col 30}{space 2} .0920844{col 58}{space 4} 1.086532{col 71}{space 3} 1.447496
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           alpha {c |}{col 18}{res}{space 2} 3.550236{col 30}{space 2} .3269215{col 58}{space 4} 2.963977{col 71}{space 3} 4.252454
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_inep guessbenefitinep  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(17, 1110)       =  {res}    64.42
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6152
                                                {txt}Root MSE          =    {res}  1.262

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     ln_fatal_d3{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}declaredsoe {c |}{col 18}{res}{space 2} .5655025{col 30}{space 2} .2222894{col 41}{space 1}    2.54{col 50}{space 3}0.011{col 58}{space 4} .1293477{col 71}{space 3} 1.001657
{txt}{space 8}soe_inep {c |}{col 18}{res}{space 2} -1.23487{col 30}{space 2} .5956865{col 41}{space 1}   -2.07{col 50}{space 3}0.038{col 58}{space 4}-2.403668{col 71}{space 3} -.066071
{txt}guessbenefitinep {c |}{col 18}{res}{space 2}  .427338{col 30}{space 2} .1811309{col 41}{space 1}    2.36{col 50}{space 3}0.018{col 58}{space 4} .0719405{col 71}{space 3} .7827356
{txt}{space 11}lnpop {c |}{col 18}{res}{space 2} .3179763{col 30}{space 2} .0374969{col 41}{space 1}    8.48{col 50}{space 3}0.000{col 58}{space 4} .2444036{col 71}{space 3} .3915491
{txt}{space 10}gdpcap {c |}{col 18}{res}{space 2}-.0292268{col 30}{space 2} .0100129{col 41}{space 1}   -2.92{col 50}{space 3}0.004{col 58}{space 4}-.0488731{col 71}{space 3}-.0095805
{txt}{space 13}gy1 {c |}{col 18}{res}{space 2}  .030449{col 30}{space 2} .0237497{col 41}{space 1}    1.28{col 50}{space 3}0.200{col 58}{space 4}-.0161505{col 71}{space 3} .0770484
{txt}{space 9}civ_lib {c |}{col 18}{res}{space 2} .3515685{col 30}{space 2} .0841934{col 41}{space 1}    4.18{col 50}{space 3}0.000{col 58}{space 4} .1863724{col 71}{space 3} .5167646
{txt}{space 7}polconiii {c |}{col 18}{res}{space 2}-.3019649{col 30}{space 2} .3034601{col 41}{space 1}   -1.00{col 50}{space 3}0.320{col 58}{space 4}-.8973849{col 71}{space 3} .2934552
{txt}{space 9}polity2 {c |}{col 18}{res}{space 2}-.0613279{col 30}{space 2} .0594957{col 41}{space 1}   -1.03{col 50}{space 3}0.303{col 58}{space 4}-.1780646{col 71}{space 3} .0554088
{txt}{space 10}lagmid {c |}{col 18}{res}{space 2} .0874855{col 30}{space 2} .0972102{col 41}{space 1}    0.90{col 50}{space 3}0.368{col 58}{space 4} -.103251{col 71}{space 3}  .278222
{txt}{space 9}lagterr {c |}{col 18}{res}{space 2} .0120065{col 30}{space 2} .0010487{col 41}{space 1}   11.45{col 50}{space 3}0.000{col 58}{space 4} .0099488{col 71}{space 3} .0140641
{txt}{space 16} {c |}
{space 10}region {c |}
{space 14}2  {c |}{col 18}{res}{space 2}-.6751443{col 30}{space 2} .1966134{col 41}{space 1}   -3.43{col 50}{space 3}0.001{col 58}{space 4} -1.06092{col 71}{space 3}-.2893685
{txt}{space 14}5  {c |}{col 18}{res}{space 2} 1.684036{col 30}{space 2} .2559019{col 41}{space 1}    6.58{col 50}{space 3}0.000{col 58}{space 4}  1.18193{col 71}{space 3} 2.186142
{txt}{space 14}7  {c |}{col 18}{res}{space 2}-.1355213{col 30}{space 2} .1642229{col 41}{space 1}   -0.83{col 50}{space 3}0.409{col 58}{space 4}-.4577436{col 71}{space 3} .1867009
{txt}{space 16} {c |}
{space 10}decade {c |}
{space 12}198  {c |}{col 18}{res}{space 2} .1530481{col 30}{space 2} .1288068{col 41}{space 1}    1.19{col 50}{space 3}0.235{col 58}{space 4}-.0996842{col 71}{space 3} .4057804
{txt}{space 12}199  {c |}{col 18}{res}{space 2}-.6535199{col 30}{space 2} .1339904{col 41}{space 1}   -4.88{col 50}{space 3}0.000{col 58}{space 4} -.916423{col 71}{space 3}-.3906169
{txt}{space 12}200  {c |}{col 18}{res}{space 2} -.755144{col 30}{space 2} .1531554{col 41}{space 1}   -4.93{col 50}{space 3}0.000{col 58}{space 4}-1.055651{col 71}{space 3}-.4546373
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-3.810128{col 30}{space 2} .9699275{col 41}{space 1}   -3.93{col 50}{space 3}0.000{col 58}{space 4}-5.713226{col 71}{space 3} -1.90703
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_inep guessbenefitinep  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(17, 1110)       =  {res}    67.94
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6216
                                                {txt}Root MSE          =    {res} 1.0298

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     ln_fatal_f3{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}declaredsoe {c |}{col 18}{res}{space 2} .1985568{col 30}{space 2} .1284479{col 41}{space 1}    1.55{col 50}{space 3}0.122{col 58}{space 4}-.0534712{col 71}{space 3} .4505848
{txt}{space 8}soe_inep {c |}{col 18}{res}{space 2} 1.011085{col 30}{space 2} .4307022{col 41}{space 1}    2.35{col 50}{space 3}0.019{col 58}{space 4} .1660029{col 71}{space 3} 1.856167
{txt}guessbenefitinep {c |}{col 18}{res}{space 2} .9439411{col 30}{space 2} .1362455{col 41}{space 1}    6.93{col 50}{space 3}0.000{col 58}{space 4} .6766133{col 71}{space 3} 1.211269
{txt}{space 11}lnpop {c |}{col 18}{res}{space 2} .1938203{col 30}{space 2} .0292217{col 41}{space 1}    6.63{col 50}{space 3}0.000{col 58}{space 4} .1364844{col 71}{space 3} .2511562
{txt}{space 10}gdpcap {c |}{col 18}{res}{space 2}-.0684406{col 30}{space 2} .0087131{col 41}{space 1}   -7.85{col 50}{space 3}0.000{col 58}{space 4}-.0855366{col 71}{space 3}-.0513447
{txt}{space 13}gy1 {c |}{col 18}{res}{space 2} .0487397{col 30}{space 2} .0165622{col 41}{space 1}    2.94{col 50}{space 3}0.003{col 58}{space 4} .0162429{col 71}{space 3} .0812365
{txt}{space 9}civ_lib {c |}{col 18}{res}{space 2}-.2113565{col 30}{space 2}  .060909{col 41}{space 1}   -3.47{col 50}{space 3}0.001{col 58}{space 4}-.3308662{col 71}{space 3}-.0918467
{txt}{space 7}polconiii {c |}{col 18}{res}{space 2}-.7167707{col 30}{space 2} .2043947{col 41}{space 1}   -3.51{col 50}{space 3}0.000{col 58}{space 4}-1.117814{col 71}{space 3}-.3157271
{txt}{space 9}polity2 {c |}{col 18}{res}{space 2} .0589774{col 30}{space 2} .0383428{col 41}{space 1}    1.54{col 50}{space 3}0.124{col 58}{space 4}-.0162551{col 71}{space 3} .1342099
{txt}{space 10}lagmid {c |}{col 18}{res}{space 2} .0042401{col 30}{space 2} .0796154{col 41}{space 1}    0.05{col 50}{space 3}0.958{col 58}{space 4}-.1519735{col 71}{space 3} .1604536
{txt}{space 9}lagterr {c |}{col 18}{res}{space 2} .0052889{col 30}{space 2} .0008865{col 41}{space 1}    5.97{col 50}{space 3}0.000{col 58}{space 4} .0035496{col 71}{space 3} .0070283
{txt}{space 16} {c |}
{space 10}region {c |}
{space 14}2  {c |}{col 18}{res}{space 2}-1.059781{col 30}{space 2} .1521744{col 41}{space 1}   -6.96{col 50}{space 3}0.000{col 58}{space 4}-1.358363{col 71}{space 3}-.7611995
{txt}{space 14}5  {c |}{col 18}{res}{space 2} 3.327864{col 30}{space 2} .2235074{col 41}{space 1}   14.89{col 50}{space 3}0.000{col 58}{space 4} 2.889319{col 71}{space 3} 3.766409
{txt}{space 14}7  {c |}{col 18}{res}{space 2}-1.148424{col 30}{space 2} .1332177{col 41}{space 1}   -8.62{col 50}{space 3}0.000{col 58}{space 4}-1.409811{col 71}{space 3}-.8870369
{txt}{space 16} {c |}
{space 10}decade {c |}
{space 12}198  {c |}{col 18}{res}{space 2} .1897611{col 30}{space 2} .1135251{col 41}{space 1}    1.67{col 50}{space 3}0.095{col 58}{space 4}-.0329868{col 71}{space 3}  .412509
{txt}{space 12}199  {c |}{col 18}{res}{space 2}-.0124896{col 30}{space 2} .0971359{col 41}{space 1}   -0.13{col 50}{space 3}0.898{col 58}{space 4}-.2030803{col 71}{space 3} .1781012
{txt}{space 12}200  {c |}{col 18}{res}{space 2}-.0216883{col 30}{space 2} .1004837{col 41}{space 1}   -0.22{col 50}{space 3}0.829{col 58}{space 4}-.2188478{col 71}{space 3} .1754711
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2} -1.67624{col 30}{space 2}  .673266{col 41}{space 1}   -2.49{col 50}{space 3}0.013{col 58}{space 4}-2.997257{col 71}{space 3} -.355222
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_inep.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(guessbenefitinep soe_inep declaredsoe $X  _cons) ///
>                 order(guessbenefitinep soe_inep declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_inep.tex"'})

{com}. eststo clear
{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3 guesscostinep $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-382552.37}  
Iteration 1:{space 3}log pseudolikelihood = {res:-307706.58}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-116573.42}  
Iteration 3:{space 3}log pseudolikelihood = {res:-67624.623}  
Iteration 4:{space 3}log pseudolikelihood = {res: -30755.73}  
Iteration 5:{space 3}log pseudolikelihood = {res:-29208.619}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29137.134}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29136.933}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29136.933}  
Iteration 9:{space 3}log pseudolikelihood = {res:-29136.933}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3457.1166}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3243.7883}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3093.3664}  
Iteration 3:{space 3}log pseudolikelihood = {res: -3048.494}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3046.2887}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3046.2852}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3046.2852}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}  12516.09
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3046.2852{txt}{col 49}Pseudo R2{col 67}= {res}    0.1349

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}  .652952{col 27}{space 2} .2472275{col 38}{space 1}    2.64{col 47}{space 3}0.008{col 55}{space 4} .1683949{col 68}{space 3} 1.137509
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.6598445{col 27}{space 2} .2332273{col 38}{space 1}   -2.83{col 47}{space 3}0.005{col 55}{space 4}-1.116962{col 68}{space 3}-.2027274
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .2683645{col 27}{space 2} .0833362{col 38}{space 1}    3.22{col 47}{space 3}0.001{col 55}{space 4} .1050284{col 68}{space 3} .4317005
{txt}guesscostinep {c |}{col 15}{res}{space 2} 1.919553{col 27}{space 2} .3878643{col 38}{space 1}    4.95{col 47}{space 3}0.000{col 55}{space 4} 1.159353{col 68}{space 3} 2.679753
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} 1.042668{col 27}{space 2} .0643983{col 38}{space 1}   16.19{col 47}{space 3}0.000{col 55}{space 4} .9164495{col 68}{space 3} 1.168886
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0776149{col 27}{space 2}  .018393{col 38}{space 1}   -4.22{col 47}{space 3}0.000{col 55}{space 4}-.1136646{col 68}{space 3}-.0415652
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0179963{col 27}{space 2}  .042535{col 38}{space 1}    0.42{col 47}{space 3}0.672{col 55}{space 4}-.0653707{col 68}{space 3} .1013633
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .4448507{col 27}{space 2} .1415692{col 38}{space 1}    3.14{col 47}{space 3}0.002{col 55}{space 4} .1673802{col 68}{space 3} .7223212
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .6815047{col 27}{space 2} .5758343{col 38}{space 1}    1.18{col 47}{space 3}0.237{col 55}{space 4}-.4471097{col 68}{space 3} 1.810119
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.1243519{col 27}{space 2} .0906619{col 38}{space 1}   -1.37{col 47}{space 3}0.170{col 55}{space 4}-.3020459{col 68}{space 3}  .053342
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} -.025205{col 27}{space 2} .1378621{col 38}{space 1}   -0.18{col 47}{space 3}0.855{col 55}{space 4}-.2954097{col 68}{space 3} .2449997
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0102462{col 27}{space 2} .0014917{col 38}{space 1}    6.87{col 47}{space 3}0.000{col 55}{space 4} .0073225{col 68}{space 3} .0131699
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-23.78091{col 27}{space 2}  .384032{col 38}{space 1}  -61.92{col 47}{space 3}0.000{col 55}{space 4} -24.5336{col 68}{space 3}-23.02822
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .6197968{col 27}{space 2} .3455258{col 38}{space 1}    1.79{col 47}{space 3}0.073{col 55}{space 4}-.0574214{col 68}{space 3} 1.297015
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.136928{col 27}{space 2} .2592149{col 38}{space 1}   -4.39{col 47}{space 3}0.000{col 55}{space 4} -1.64498{col 68}{space 3}-.6288766
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1409463{col 27}{space 2} .1721406{col 38}{space 1}    0.82{col 47}{space 3}0.413{col 55}{space 4} -.196443{col 68}{space 3} .4783356
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.4948762{col 27}{space 2} .1842628{col 38}{space 1}   -2.69{col 47}{space 3}0.007{col 55}{space 4}-.8560246{col 68}{space 3}-.1337277
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.113944{col 27}{space 2} .2463395{col 38}{space 1}   -4.52{col 47}{space 3}0.000{col 55}{space 4} -1.59676{col 68}{space 3}-.6311271
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-14.56001{col 27}{space 2} 1.634122{col 38}{space 1}   -8.91{col 47}{space 3}0.000{col 55}{space 4}-17.76283{col 68}{space 3}-11.35719
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2}  .987712{col 27}{space 2} .0574664{col 55}{space 4} .8750799{col 68}{space 3} 1.100344
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.685084{col 27}{space 2} .1543022{col 55}{space 4} 2.399067{col 68}{space 3}   3.0052
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3 guesscostinep $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-98469.553}  
Iteration 1:{space 3}log pseudolikelihood = {res:-57362.394}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-55150.541}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11103.513}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9750.9483}  
Iteration 5:{space 3}log pseudolikelihood = {res:-9698.8172}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9698.6032}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9698.5919}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9698.5918}  
Iteration 9:{space 3}log pseudolikelihood = {res:-9698.5917}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2361.1243}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2198.5746}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2096.3916}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2037.9208}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2018.5559}  
Iteration 5:{space 3}log pseudolikelihood = {res: -2018.484}  
Iteration 6:{space 3}log pseudolikelihood = {res: -2018.484}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}   1614.10
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -2018.484{txt}{col 49}Pseudo R2{col 67}= {res}    0.1547

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.3776806{col 27}{space 2} .4332956{col 38}{space 1}   -0.87{col 47}{space 3}0.383{col 55}{space 4}-1.226924{col 68}{space 3} .4715631
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.117484{col 27}{space 2} .2828299{col 38}{space 1}    3.95{col 47}{space 3}0.000{col 55}{space 4} .5631478{col 68}{space 3} 1.671821
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3443204{col 27}{space 2} .1099872{col 38}{space 1}    3.13{col 47}{space 3}0.002{col 55}{space 4} .1287496{col 68}{space 3} .5598913
{txt}guesscostinep {c |}{col 15}{res}{space 2} 1.433233{col 27}{space 2} .4604821{col 38}{space 1}    3.11{col 47}{space 3}0.002{col 55}{space 4}  .530705{col 68}{space 3} 2.335762
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .8476589{col 27}{space 2} .0766539{col 38}{space 1}   11.06{col 47}{space 3}0.000{col 55}{space 4} .6974201{col 68}{space 3} .9978977
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0220377{col 27}{space 2}  .023608{col 38}{space 1}   -0.93{col 47}{space 3}0.351{col 55}{space 4}-.0683086{col 68}{space 3} .0242332
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .4837562{col 27}{space 2} .0762596{col 38}{space 1}    6.34{col 47}{space 3}0.000{col 55}{space 4} .3342902{col 68}{space 3} .6332222
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.0006709{col 27}{space 2}  .214327{col 38}{space 1}   -0.00{col 47}{space 3}0.998{col 55}{space 4} -.420744{col 68}{space 3} .4194022
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.526119{col 27}{space 2} .7716318{col 38}{space 1}   -1.98{col 47}{space 3}0.048{col 55}{space 4}-3.038489{col 68}{space 3}-.0137481
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1171756{col 27}{space 2} .1614355{col 38}{space 1}    0.73{col 47}{space 3}0.468{col 55}{space 4}-.1992321{col 68}{space 3} .4335832
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0664354{col 27}{space 2} .1569024{col 38}{space 1}    0.42{col 47}{space 3}0.672{col 55}{space 4}-.2410875{col 68}{space 3} .3739584
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0066425{col 27}{space 2} .0010713{col 38}{space 1}    6.20{col 47}{space 3}0.000{col 55}{space 4} .0045427{col 68}{space 3} .0087423
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-19.36554{col 27}{space 2} .9058972{col 38}{space 1}  -21.38{col 47}{space 3}0.000{col 55}{space 4}-21.14107{col 68}{space 3}-17.59002
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 2.620407{col 27}{space 2} .3407424{col 38}{space 1}    7.69{col 47}{space 3}0.000{col 55}{space 4} 1.952564{col 68}{space 3}  3.28825
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.982937{col 27}{space 2} .4351321{col 38}{space 1}   -4.56{col 47}{space 3}0.000{col 55}{space 4}-2.835781{col 68}{space 3}-1.130094
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2}-.0938812{col 27}{space 2} .1685433{col 38}{space 1}   -0.56{col 47}{space 3}0.578{col 55}{space 4}-.4242201{col 68}{space 3} .2364576
{txt}{space 9}199  {c |}{col 15}{res}{space 2} -.319577{col 27}{space 2} .3079452{col 38}{space 1}   -1.04{col 47}{space 3}0.299{col 55}{space 4}-.9231385{col 68}{space 3} .2839844
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.325034{col 27}{space 2} .3378853{col 38}{space 1}   -3.92{col 47}{space 3}0.000{col 55}{space 4}-1.987277{col 68}{space 3}-.6627906
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-14.90667{col 27}{space 2} 2.481814{col 38}{space 1}   -6.01{col 47}{space 3}0.000{col 55}{space 4}-19.77093{col 68}{space 3} -10.0424
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.289188{col 27}{space 2} .0861851{col 55}{space 4} 1.120268{col 68}{space 3} 1.458107
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 3.629837{col 27}{space 2} .3128377{col 55}{space 4} 3.065676{col 68}{space 3} 4.297817
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3 guesscostinep $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(18, 1109)       =  {res}    62.85
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6268
                                                {txt}Root MSE          =    {res} 1.2434

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .2839818{col 27}{space 2} .1534948{col 38}{space 1}    1.85{col 47}{space 3}0.065{col 55}{space 4}-.0171911{col 68}{space 3} .5851547
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.2356095{col 27}{space 2} .1458129{col 38}{space 1}   -1.62{col 47}{space 3}0.106{col 55}{space 4}-.5217097{col 68}{space 3} .0504907
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1879346{col 27}{space 2} .0411338{col 38}{space 1}    4.57{col 47}{space 3}0.000{col 55}{space 4} .1072258{col 68}{space 3} .2686434
{txt}guesscostinep {c |}{col 15}{res}{space 2} 1.251692{col 27}{space 2}  .195108{col 38}{space 1}    6.42{col 47}{space 3}0.000{col 55}{space 4} .8688698{col 68}{space 3} 1.634515
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .3342567{col 27}{space 2} .0374078{col 38}{space 1}    8.94{col 47}{space 3}0.000{col 55}{space 4} .2608586{col 68}{space 3} .4076547
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0205978{col 27}{space 2} .0101638{col 38}{space 1}   -2.03{col 47}{space 3}0.043{col 55}{space 4}-.0405403{col 68}{space 3}-.0006553
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0015141{col 27}{space 2} .0233556{col 38}{space 1}    0.06{col 47}{space 3}0.948{col 55}{space 4} -.044312{col 68}{space 3} .0473402
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3444231{col 27}{space 2} .0863716{col 38}{space 1}    3.99{col 47}{space 3}0.000{col 55}{space 4}  .174953{col 68}{space 3} .5138932
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}  .036203{col 27}{space 2} .3124457{col 38}{space 1}    0.12{col 47}{space 3}0.908{col 55}{space 4}-.5768484{col 68}{space 3} .6492544
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0909331{col 27}{space 2} .0600968{col 38}{space 1}   -1.51{col 47}{space 3}0.131{col 55}{space 4}-.2088493{col 68}{space 3} .0269832
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0859158{col 27}{space 2} .0962963{col 38}{space 1}    0.89{col 47}{space 3}0.372{col 55}{space 4}-.1030277{col 68}{space 3} .2748592
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0115328{col 27}{space 2} .0010151{col 38}{space 1}   11.36{col 47}{space 3}0.000{col 55}{space 4} .0095412{col 68}{space 3} .0135245
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.7197471{col 27}{space 2} .1922447{col 38}{space 1}   -3.74{col 47}{space 3}0.000{col 55}{space 4}-1.096951{col 68}{space 3}-.3425427
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 1.407363{col 27}{space 2} .2476641{col 38}{space 1}    5.68{col 47}{space 3}0.000{col 55}{space 4} .9214198{col 68}{space 3} 1.893306
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.2207246{col 27}{space 2} .1679782{col 38}{space 1}   -1.31{col 47}{space 3}0.189{col 55}{space 4}-.5503156{col 68}{space 3} .1088664
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0959376{col 27}{space 2} .1254241{col 38}{space 1}    0.76{col 47}{space 3}0.444{col 55}{space 4}-.1501577{col 68}{space 3} .3420329
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.7647013{col 27}{space 2}  .134269{col 38}{space 1}   -5.70{col 47}{space 3}0.000{col 55}{space 4}-1.028151{col 68}{space 3}-.5012515
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.9212038{col 27}{space 2} .1556493{col 38}{space 1}   -5.92{col 47}{space 3}0.000{col 55}{space 4}-1.226604{col 68}{space 3}-.6158034
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-4.295755{col 27}{space 2} .9690724{col 38}{space 1}   -4.43{col 47}{space 3}0.000{col 55}{space 4}-6.197177{col 68}{space 3}-2.394333
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3 guesscostinep $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(18, 1109)       =  {res}    72.62
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6470
                                                {txt}Root MSE          =    {res} .99506

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.1867985{col 27}{space 2} .1003371{col 38}{space 1}   -1.86{col 47}{space 3}0.063{col 55}{space 4}-.3836704{col 68}{space 3} .0100734
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .7555976{col 27}{space 2} .1213461{col 38}{space 1}    6.23{col 47}{space 3}0.000{col 55}{space 4} .5175038{col 68}{space 3} .9936915
{txt}empowerscore3 {c |}{col 15}{res}{space 2}  .210144{col 27}{space 2} .0363876{col 38}{space 1}    5.78{col 47}{space 3}0.000{col 55}{space 4} .1387477{col 68}{space 3} .2815403
{txt}guesscostinep {c |}{col 15}{res}{space 2} .2516137{col 27}{space 2} .1499168{col 38}{space 1}    1.68{col 47}{space 3}0.094{col 55}{space 4}-.0425388{col 68}{space 3} .5457662
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .2081796{col 27}{space 2} .0277025{col 38}{space 1}    7.51{col 47}{space 3}0.000{col 55}{space 4} .1538243{col 68}{space 3} .2625348
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0518712{col 27}{space 2} .0084432{col 38}{space 1}   -6.14{col 47}{space 3}0.000{col 55}{space 4}-.0684375{col 68}{space 3}-.0353048
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0139097{col 27}{space 2} .0164174{col 38}{space 1}    0.85{col 47}{space 3}0.397{col 55}{space 4}-.0183031{col 68}{space 3} .0461224
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.1014647{col 27}{space 2} .0585412{col 38}{space 1}   -1.73{col 47}{space 3}0.083{col 55}{space 4}-.2163287{col 68}{space 3} .0133994
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.7396199{col 27}{space 2} .2101817{col 38}{space 1}   -3.52{col 47}{space 3}0.000{col 55}{space 4}-1.152019{col 68}{space 3}-.3272211
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0916063{col 27}{space 2} .0426155{col 38}{space 1}    2.15{col 47}{space 3}0.032{col 55}{space 4} .0079901{col 68}{space 3} .1752224
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0406345{col 27}{space 2} .0770922{col 38}{space 1}   -0.53{col 47}{space 3}0.598{col 55}{space 4}-.1918975{col 68}{space 3} .1106285
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0051936{col 27}{space 2} .0007971{col 38}{space 1}    6.52{col 47}{space 3}0.000{col 55}{space 4} .0036297{col 68}{space 3} .0067576
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2} -.813798{col 27}{space 2} .1542964{col 38}{space 1}   -5.27{col 47}{space 3}0.000{col 55}{space 4}-1.116544{col 68}{space 3}-.5110523
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.061143{col 27}{space 2} .2039862{col 38}{space 1}   15.01{col 47}{space 3}0.000{col 55}{space 4}   2.6609{col 68}{space 3} 3.461385
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.151365{col 27}{space 2} .1353649{col 38}{space 1}   -8.51{col 47}{space 3}0.000{col 55}{space 4}-1.416965{col 68}{space 3}-.8857649
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1803368{col 27}{space 2} .1099054{col 38}{space 1}    1.64{col 47}{space 3}0.101{col 55}{space 4}-.0353092{col 68}{space 3} .3959827
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.1066583{col 27}{space 2} .0968738{col 38}{space 1}   -1.10{col 47}{space 3}0.271{col 55}{space 4}-.2967348{col 68}{space 3} .0834183
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0790545{col 27}{space 2} .1030453{col 38}{space 1}   -0.77{col 47}{space 3}0.443{col 55}{space 4}-.2812404{col 68}{space 3} .1231313
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.377249{col 27}{space 2}  .677348{col 38}{space 1}   -3.51{col 47}{space 3}0.000{col 55}{space 4}-3.706277{col 68}{space 3}-1.048221
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_inep_costs.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe guesscostinep $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe guesscostinep $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_inep_costs.tex"'})

{com}. eststo clear
{txt}
{com}. 
. // Lag Terror
. 
. sort ccode year
{txt}
{com}. by ccode: egen terrmean=mean(lagterr)
{txt}(7,125 missing values generated)

{com}. 
. sort ccode year
{txt}
{com}. by ccode: egen terrmed=median(lagterr)
{txt}(7,125 missing values generated)

{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade if lagterr>terrmed & lagterr!=., robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -91356.19}  
Iteration 1:{space 3}log pseudolikelihood = {res:-49720.047}  
Iteration 2:{space 3}log pseudolikelihood = {res: -25784.78}  
Iteration 3:{space 3}log pseudolikelihood = {res: -16189.09}  
Iteration 4:{space 3}log pseudolikelihood = {res: -15857.05}  
Iteration 5:{space 3}log pseudolikelihood = {res:-15855.191}  
Iteration 6:{space 3}log pseudolikelihood = {res:-15855.188}  
Iteration 7:{space 3}log pseudolikelihood = {res:-15855.188}  
Iteration 8:{space 3}log pseudolikelihood = {res:-15855.188}  
Iteration 9:{space 3}log pseudolikelihood = {res:-15855.188}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2178.4438}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1802.1175}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1797.245}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1797.2118}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1797.2118}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1739.3425}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1645.2113}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1593.4236}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1584.3019}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1584.0415}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1584.041}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1584.041}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       393
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}    939.42
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -1584.041{txt}{col 49}Pseudo R2{col 67}= {res}    0.1186

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .5239051{col 27}{space 2} .2909136{col 38}{space 1}    1.80{col 47}{space 3}0.072{col 55}{space 4} -.046275{col 68}{space 3} 1.094085
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.9323981{col 27}{space 2} .2341221{col 38}{space 1}   -3.98{col 47}{space 3}0.000{col 55}{space 4}-1.391269{col 68}{space 3}-.4735273
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .0677522{col 27}{space 2} .1182924{col 38}{space 1}    0.57{col 47}{space 3}0.567{col 55}{space 4}-.1640965{col 68}{space 3}  .299601
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .7001544{col 27}{space 2} .0862501{col 38}{space 1}    8.12{col 47}{space 3}0.000{col 55}{space 4} .5311072{col 68}{space 3} .8692015
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.1304367{col 27}{space 2} .0263177{col 38}{space 1}   -4.96{col 47}{space 3}0.000{col 55}{space 4}-.1820184{col 68}{space 3}-.0788551
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0129226{col 27}{space 2} .0504093{col 38}{space 1}   -0.26{col 47}{space 3}0.798{col 55}{space 4}-.1117229{col 68}{space 3} .0858777
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3711014{col 27}{space 2} .1516146{col 38}{space 1}    2.45{col 47}{space 3}0.014{col 55}{space 4} .0739422{col 68}{space 3} .6682605
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.8310886{col 27}{space 2} .7301919{col 38}{space 1}   -1.14{col 47}{space 3}0.255{col 55}{space 4}-2.262238{col 68}{space 3} .6000612
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0787285{col 27}{space 2} .1032649{col 38}{space 1}   -0.76{col 47}{space 3}0.446{col 55}{space 4}-.2811239{col 68}{space 3} .1236669
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0426375{col 27}{space 2}   .17057{col 38}{space 1}    0.25{col 47}{space 3}0.803{col 55}{space 4}-.2916735{col 68}{space 3} .3769485
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0084116{col 27}{space 2} .0011158{col 38}{space 1}    7.54{col 47}{space 3}0.000{col 55}{space 4} .0062247{col 68}{space 3} .0105984
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-20.25742{col 27}{space 2} 1.089306{col 38}{space 1}  -18.60{col 47}{space 3}0.000{col 55}{space 4}-22.39242{col 68}{space 3}-18.12242
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .7915018{col 27}{space 2} .4081333{col 38}{space 1}    1.94{col 47}{space 3}0.052{col 55}{space 4}-.0084247{col 68}{space 3} 1.591428
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.258614{col 27}{space 2} .3455092{col 38}{space 1}   -3.64{col 47}{space 3}0.000{col 55}{space 4}  -1.9358{col 68}{space 3}-.5814286
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .4130062{col 27}{space 2} .2198907{col 38}{space 1}    1.88{col 47}{space 3}0.060{col 55}{space 4}-.0179716{col 68}{space 3} .8439841
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.2986153{col 27}{space 2} .2695093{col 38}{space 1}   -1.11{col 47}{space 3}0.268{col 55}{space 4}-.8268439{col 68}{space 3} .2296134
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0389608{col 27}{space 2} .4286171{col 38}{space 1}   -0.09{col 47}{space 3}0.928{col 55}{space 4}-.8790348{col 68}{space 3} .8011131
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-6.733937{col 27}{space 2} 1.723345{col 38}{space 1}   -3.91{col 47}{space 3}0.000{col 55}{space 4}-10.11163{col 68}{space 3}-3.356243
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} .4754744{col 27}{space 2} .0760153{col 55}{space 4}  .326487{col 68}{space 3} .6244617
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 1.608777{col 27}{space 2} .1222918{col 55}{space 4}  1.38609{col 68}{space 3} 1.867241
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade if lagterr>terrmed & lagterr!=., robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-13995.952}  
Iteration 1:{space 3}log pseudolikelihood = {res:-7296.9237}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5523.5549}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5400.2549}  
Iteration 4:{space 3}log pseudolikelihood = {res:-5396.2912}  
Iteration 5:{space 3}log pseudolikelihood = {res:-5396.2621}  
Iteration 6:{space 3}log pseudolikelihood = {res:-5396.2571}  
Iteration 7:{space 3}log pseudolikelihood = {res:-5396.2559}  
Iteration 8:{space 3}log pseudolikelihood = {res:-5396.2556}  
Iteration 9:{space 3}log pseudolikelihood = {res:-5396.2556}  
Iteration 10:{space 2}log pseudolikelihood = {res:-5396.2555}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1875.3874}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1271.1228}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1271.009}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1271.0089}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1239.7949}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1176.5576}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1118.2153}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1107.8404}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1107.4677}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1107.4673}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1107.4673}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       393
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1187.48
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1107.4673{txt}{col 49}Pseudo R2{col 67}= {res}    0.1287

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-1.055047{col 27}{space 2}  .771054{col 38}{space 1}   -1.37{col 47}{space 3}0.171{col 55}{space 4}-2.566285{col 68}{space 3} .4561908
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.163318{col 27}{space 2} .5023337{col 38}{space 1}    2.32{col 47}{space 3}0.021{col 55}{space 4} .1787622{col 68}{space 3} 2.147874
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .6192421{col 27}{space 2} .1532458{col 38}{space 1}    4.04{col 47}{space 3}0.000{col 55}{space 4} .3188858{col 68}{space 3} .9195984
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .6050836{col 27}{space 2} .1098515{col 38}{space 1}    5.51{col 47}{space 3}0.000{col 55}{space 4} .3897787{col 68}{space 3} .8203884
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2} .0412161{col 27}{space 2} .0341096{col 38}{space 1}    1.21{col 47}{space 3}0.227{col 55}{space 4}-.0256376{col 68}{space 3} .1080697
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .5034338{col 27}{space 2} .0864562{col 38}{space 1}    5.82{col 47}{space 3}0.000{col 55}{space 4} .3339828{col 68}{space 3} .6728848
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.0754218{col 27}{space 2} .3066749{col 38}{space 1}   -0.25{col 47}{space 3}0.806{col 55}{space 4}-.6764936{col 68}{space 3} .5256501
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.859079{col 27}{space 2} 1.000645{col 38}{space 1}   -1.86{col 47}{space 3}0.063{col 55}{space 4}-3.820307{col 68}{space 3} .1021483
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1923033{col 27}{space 2} .2216037{col 38}{space 1}    0.87{col 47}{space 3}0.386{col 55}{space 4}-.2420319{col 68}{space 3} .6266385
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.1308422{col 27}{space 2} .1938561{col 38}{space 1}   -0.67{col 47}{space 3}0.500{col 55}{space 4}-.5107931{col 68}{space 3} .2491088
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2}  .005657{col 27}{space 2} .0011212{col 38}{space 1}    5.05{col 47}{space 3}0.000{col 55}{space 4} .0034594{col 68}{space 3} .0078545
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-16.19244{col 27}{space 2} 1.245217{col 38}{space 1}  -13.00{col 47}{space 3}0.000{col 55}{space 4}-18.63302{col 68}{space 3}-13.75185
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.184117{col 27}{space 2} .5358769{col 38}{space 1}    5.94{col 47}{space 3}0.000{col 55}{space 4} 2.133817{col 68}{space 3} 4.234416
{txt}{space 11}7  {c |}{col 15}{res}{space 2} -.551145{col 27}{space 2} .6127315{col 38}{space 1}   -0.90{col 47}{space 3}0.368{col 55}{space 4}-1.752077{col 68}{space 3} .6497868
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} -.502131{col 27}{space 2} .2082307{col 38}{space 1}   -2.41{col 47}{space 3}0.016{col 55}{space 4}-.9102556{col 68}{space 3}-.0940064
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-1.092147{col 27}{space 2} .4076993{col 38}{space 1}   -2.68{col 47}{space 3}0.007{col 55}{space 4}-1.891223{col 68}{space 3}-.2930707
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-2.745898{col 27}{space 2} .7850788{col 38}{space 1}   -3.50{col 47}{space 3}0.000{col 55}{space 4}-4.284624{col 68}{space 3}-1.207171
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-10.94179{col 27}{space 2} 3.600952{col 38}{space 1}   -3.04{col 47}{space 3}0.002{col 55}{space 4}-17.99952{col 68}{space 3}-3.884051
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} .9419793{col 27}{space 2} .1246314{col 55}{space 4} .6977063{col 68}{space 3} 1.186252
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.565053{col 27}{space 2} .3196861{col 55}{space 4} 2.009139{col 68}{space 3} 3.274785
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3  $X i.region i.decade if lagterr>terrmed & lagterr!=., robust

{txt}Linear regression                               Number of obs     = {res}       393
                                                {txt}{help j_robustsingular:F(16, 375) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.6772
                                                {txt}Root MSE          =    {res} 1.4453

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .3338394{col 27}{space 2} .3645674{col 38}{space 1}    0.92{col 47}{space 3}0.360{col 55}{space 4}-.3830132{col 68}{space 3} 1.050692
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.5433438{col 27}{space 2}  .291719{col 38}{space 1}   -1.86{col 47}{space 3}0.063{col 55}{space 4}-1.116954{col 68}{space 3} .0302663
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .2701375{col 27}{space 2} .0970419{col 38}{space 1}    2.78{col 47}{space 3}0.006{col 55}{space 4} .0793229{col 68}{space 3} .4609521
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .1845931{col 27}{space 2} .0706141{col 38}{space 1}    2.61{col 47}{space 3}0.009{col 55}{space 4} .0457439{col 68}{space 3} .3234424
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0734007{col 27}{space 2} .0260659{col 38}{space 1}   -2.82{col 47}{space 3}0.005{col 55}{space 4}-.1246543{col 68}{space 3}-.0221472
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0003633{col 27}{space 2} .0488563{col 38}{space 1}    0.01{col 47}{space 3}0.994{col 55}{space 4}-.0957034{col 68}{space 3} .0964299
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .4878802{col 27}{space 2} .1865177{col 38}{space 1}    2.62{col 47}{space 3}0.009{col 55}{space 4} .1211287{col 68}{space 3} .8546318
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .6624939{col 27}{space 2} .6201218{col 38}{space 1}    1.07{col 47}{space 3}0.286{col 55}{space 4}-.5568579{col 68}{space 3} 1.881846
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.1575476{col 27}{space 2} .1184321{col 38}{space 1}   -1.33{col 47}{space 3}0.184{col 55}{space 4}-.3904218{col 68}{space 3} .0753266
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .2783405{col 27}{space 2}  .165604{col 38}{space 1}    1.68{col 47}{space 3}0.094{col 55}{space 4}-.0472882{col 68}{space 3} .6039693
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0106913{col 27}{space 2} .0011526{col 38}{space 1}    9.28{col 47}{space 3}0.000{col 55}{space 4} .0084249{col 68}{space 3} .0129578
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-1.146744{col 27}{space 2} .4573202{col 38}{space 1}   -2.51{col 47}{space 3}0.013{col 55}{space 4}-2.045977{col 68}{space 3}-.2475107
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .9821149{col 27}{space 2} .4640602{col 38}{space 1}    2.12{col 47}{space 3}0.035{col 55}{space 4} .0696286{col 68}{space 3} 1.894601
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.7423864{col 27}{space 2} .3596263{col 38}{space 1}   -2.06{col 47}{space 3}0.040{col 55}{space 4}-1.449523{col 68}{space 3}-.0352495
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .2351102{col 27}{space 2} .2227169{col 38}{space 1}    1.06{col 47}{space 3}0.292{col 55}{space 4}-.2028203{col 68}{space 3} .6730406
{txt}{space 9}199  {c |}{col 15}{res}{space 2} -1.10524{col 27}{space 2}  .303422{col 38}{space 1}   -3.64{col 47}{space 3}0.000{col 55}{space 4}-1.701861{col 68}{space 3}-.5086178
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.051473{col 27}{space 2} .4777555{col 38}{space 1}   -2.20{col 47}{space 3}0.028{col 55}{space 4}-1.990888{col 68}{space 3}-.1120573
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-.1411042{col 27}{space 2} 1.777413{col 38}{space 1}   -0.08{col 47}{space 3}0.937{col 55}{space 4} -3.63605{col 68}{space 3} 3.353842
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3  $X i.region i.decade if lagterr>terrmed & lagterr!=., robust

{txt}Linear regression                               Number of obs     = {res}       393
                                                {txt}{help j_robustsingular:F(16, 375) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.6923
                                                {txt}Root MSE          =    {res} 1.1807

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.4017022{col 27}{space 2} .2413901{col 38}{space 1}   -1.66{col 47}{space 3}0.097{col 55}{space 4}-.8763499{col 68}{space 3} .0729456
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .9391773{col 27}{space 2} .2374893{col 38}{space 1}    3.95{col 47}{space 3}0.000{col 55}{space 4} .4721997{col 68}{space 3} 1.406155
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3443315{col 27}{space 2} .0886832{col 38}{space 1}    3.88{col 47}{space 3}0.000{col 55}{space 4} .1699528{col 68}{space 3} .5187102
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .3323191{col 27}{space 2} .0569475{col 38}{space 1}    5.84{col 47}{space 3}0.000{col 55}{space 4} .2203428{col 68}{space 3} .4442955
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0881013{col 27}{space 2} .0201017{col 38}{space 1}   -4.38{col 47}{space 3}0.000{col 55}{space 4}-.1276276{col 68}{space 3} -.048575
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0884493{col 27}{space 2} .0356318{col 38}{space 1}    2.48{col 47}{space 3}0.013{col 55}{space 4} .0183862{col 68}{space 3} .1585124
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.4020305{col 27}{space 2} .1256932{col 38}{space 1}   -3.20{col 47}{space 3}0.001{col 55}{space 4}-.6491824{col 68}{space 3}-.1548786
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} -1.03165{col 27}{space 2} .4011046{col 38}{space 1}   -2.57{col 47}{space 3}0.010{col 55}{space 4}-1.820346{col 68}{space 3}-.2429541
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0984546{col 27}{space 2} .0909713{col 38}{space 1}   -1.08{col 47}{space 3}0.280{col 55}{space 4}-.2773323{col 68}{space 3} .0804231
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} -.087321{col 27}{space 2} .1364254{col 38}{space 1}   -0.64{col 47}{space 3}0.523{col 55}{space 4}-.3555756{col 68}{space 3} .1809336
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0047015{col 27}{space 2} .0007523{col 38}{space 1}    6.25{col 47}{space 3}0.000{col 55}{space 4} .0032222{col 68}{space 3} .0061807
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.7003641{col 27}{space 2} .3328809{col 38}{space 1}   -2.10{col 47}{space 3}0.036{col 55}{space 4}-1.354911{col 68}{space 3}-.0458169
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.074468{col 27}{space 2} .3443608{col 38}{space 1}    8.93{col 47}{space 3}0.000{col 55}{space 4} 2.397348{col 68}{space 3} 3.751588
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.747977{col 27}{space 2} .2934858{col 38}{space 1}   -5.96{col 47}{space 3}0.000{col 55}{space 4}-2.325062{col 68}{space 3}-1.170893
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2}-.1689162{col 27}{space 2}  .203321{col 38}{space 1}   -0.83{col 47}{space 3}0.407{col 55}{space 4}-.5687083{col 68}{space 3} .2308759
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.4299157{col 27}{space 2} .2187553{col 38}{space 1}   -1.97{col 47}{space 3}0.050{col 55}{space 4}-.8600564{col 68}{space 3} .0002251
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.6393579{col 27}{space 2} .3262284{col 38}{space 1}   -1.96{col 47}{space 3}0.051{col 55}{space 4}-1.280824{col 68}{space 3} .0021084
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-.9606249{col 27}{space 2} 1.264587{col 38}{space 1}   -0.76{col 47}{space 3}0.448{col 55}{space 4}-3.447196{col 68}{space 3} 1.525946
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_lagterr_main.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_lagterr_main.tex"'})

{com}. eststo clear
{txt}
{com}. 
. //IV 
. 
. gen lwords=log(wordcount)
{txt}(8,366 missing values generated)

{com}. gen lwordsne=log(otherwords)
{txt}(8,366 missing values generated)

{com}. gen lowrdsnesq=lwordsne*lwordsne
{txt}(8,366 missing values generated)

{com}. gen lwordsnefx=log(otherwordsfx)
{txt}(8,366 missing values generated)

{com}. gen lwordsnefxsq=lwordsnefx*lwordsnefx
{txt}(8,366 missing values generated)

{com}. gen int1=lwordsne*declaredsoe
{txt}(10,488 missing values generated)

{com}. gen int2=lowrdsnesq*declaredsoe
{txt}(10,488 missing values generated)

{com}. tab region, gen(rfe)

     {txt}region {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,073       45.20       45.20
{txt}          2 {c |}{res}        202        8.51       53.71
{txt}          3 {c |}{res}        243       10.24       63.94
{txt}          5 {c |}{res}        103        4.34       68.28
{txt}          6 {c |}{res}        197        8.30       76.58
{txt}          7 {c |}{res}        556       23.42      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,374      100.00
{txt}
{com}. tab decade, gen(dfe)

     {txt}decade {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        180 {c |}{res}          1        0.02        0.02
{txt}        181 {c |}{res}         10        0.23        0.26
{txt}        182 {c |}{res}         10        0.23        0.49
{txt}        183 {c |}{res}         10        0.23        0.73
{txt}        184 {c |}{res}         14        0.33        1.06
{txt}        185 {c |}{res}         31        0.73        1.78
{txt}        186 {c |}{res}         43        1.01        2.79
{txt}        187 {c |}{res}         58        1.36        4.15
{txt}        188 {c |}{res}         68        1.59        5.74
{txt}        189 {c |}{res}         82        1.92        7.67
{txt}        190 {c |}{res}        109        2.56       10.22
{txt}        191 {c |}{res}        134        3.14       13.36
{txt}        192 {c |}{res}        208        4.88       18.24
{txt}        193 {c |}{res}        163        3.82       22.06
{txt}        194 {c |}{res}        135        3.17       25.23
{txt}        195 {c |}{res}        243        5.70       30.93
{txt}        196 {c |}{res}        294        6.89       37.82
{txt}        197 {c |}{res}        337        7.90       45.72
{txt}        198 {c |}{res}        427       10.01       55.73
{txt}        199 {c |}{res}        715       16.76       72.50
{txt}        200 {c |}{res}        890       20.87       93.36
{txt}        201 {c |}{res}        283        6.64      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,265      100.00
{txt}
{com}. gen int3=lwordsne*turaldisastersoe
{txt}(10,355 missing values generated)

{com}. gen int4=lowrdsnesq*turaldisastersoe
{txt}(10,355 missing values generated)

{com}. gen int5=empowerscore3*turaldisastersoe
{txt}(10,314 missing values generated)

{com}. gen int6=empowerscore3*turaldisastersoe
{txt}(10,314 missing values generated)

{com}. 
. eststo clear
{txt}
{com}. eststo:  ivpois d_3 declaredsoe gdpcap gy1 lnpop polconiii polity2 lagmid lagterr  civ_lib rfe* dfe* if extraconstitutiol!=1, endog(empowerscore3 soe_emp)  exog(lwordsne lowrdsnesq int1 int2) 
{txt}note: rfe3 dropped because of collinearity
note: rfe4 dropped because of collinearity
note: rfe5 dropped because of collinearity
note: dfe1 dropped because of collinearity
note: dfe2 dropped because of collinearity
note: dfe3 dropped because of collinearity
note: dfe4 dropped because of collinearity
note: dfe5 dropped because of collinearity
note: dfe6 dropped because of collinearity
note: dfe7 dropped because of collinearity
note: dfe8 dropped because of collinearity
note: dfe9 dropped because of collinearity
note: dfe10 dropped because of collinearity
note: dfe11 dropped because of collinearity
note: dfe12 dropped because of collinearity
note: dfe13 dropped because of collinearity
note: dfe14 dropped because of collinearity
note: dfe15 dropped because of collinearity
note: dfe16 dropped because of collinearity
note: dfe17 dropped because of collinearity
note: dfe18 dropped because of collinearity
note: dfe22 dropped because of collinearity
{res}{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}d_3           {txt}{c |}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .6095549{col 27}{space 2} .2762746{col 38}{space 1}    2.21{col 47}{space 3}0.027{col 55}{space 4} .0680667{col 68}{space 3} 1.151043
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2} .0193423{col 27}{space 2} .0410812{col 38}{space 1}    0.47{col 47}{space 3}0.638{col 55}{space 4}-.0611753{col 68}{space 3} .0998599
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0614044{col 27}{space 2} .0769032{col 38}{space 1}   -0.80{col 47}{space 3}0.425{col 55}{space 4}-.2121319{col 68}{space 3}  .089323
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .8113911{col 27}{space 2} .0850715{col 38}{space 1}    9.54{col 47}{space 3}0.000{col 55}{space 4} .6446541{col 68}{space 3} .9781281
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .5679648{col 27}{space 2} .8153892{col 38}{space 1}    0.70{col 47}{space 3}0.486{col 55}{space 4}-1.030169{col 68}{space 3} 2.166098
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.2806309{col 27}{space 2} .1231436{col 38}{space 1}   -2.28{col 47}{space 3}0.023{col 55}{space 4} -.521988{col 68}{space 3}-.0392738
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.2803353{col 27}{space 2} .1861001{col 38}{space 1}   -1.51{col 47}{space 3}0.132{col 55}{space 4}-.6450848{col 68}{space 3} .0844142
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0089922{col 27}{space 2} .0014129{col 38}{space 1}    6.36{col 47}{space 3}0.000{col 55}{space 4} .0062229{col 68}{space 3} .0117614
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}  .497978{col 27}{space 2} .1860214{col 38}{space 1}    2.68{col 47}{space 3}0.007{col 55}{space 4} .1333827{col 68}{space 3} .8625732
{txt}{space 9}rfe1 {c |}{col 15}{res}{space 2} .6072576{col 27}{space 2} .6481536{col 38}{space 1}    0.94{col 47}{space 3}0.349{col 55}{space 4}   -.6631{col 68}{space 3} 1.877615
{txt}{space 9}rfe2 {c |}{col 15}{res}{space 2} -21.1572{col 27}{space 2}        .{col 38}{space 1}       .{col 47}{space 3}    .{col 55}{space 4}        .{col 68}{space 3}        .
{txt}{space 9}rfe6 {c |}{col 15}{res}{space 2} -.828552{col 27}{space 2} .5691118{col 38}{space 1}   -1.46{col 47}{space 3}0.145{col 55}{space 4}-1.943991{col 68}{space 3} .2868867
{txt}{space 8}dfe19 {c |}{col 15}{res}{space 2} .2332998{col 27}{space 2} .2258036{col 38}{space 1}    1.03{col 47}{space 3}0.302{col 55}{space 4}-.2092672{col 68}{space 3} .6758668
{txt}{space 8}dfe20 {c |}{col 15}{res}{space 2}-.7677646{col 27}{space 2} .2579957{col 38}{space 1}   -2.98{col 47}{space 3}0.003{col 55}{space 4}-1.273427{col 68}{space 3}-.2621022
{txt}{space 8}dfe21 {c |}{col 15}{res}{space 2}-2.461055{col 27}{space 2} .3924122{col 38}{space 1}   -6.27{col 47}{space 3}0.000{col 55}{space 4}-3.230169{col 68}{space 3}-1.691941
{txt}empowerscore3 {c |}{col 15}{res}{space 2} 1.252387{col 27}{space 2} .4325938{col 38}{space 1}    2.90{col 47}{space 3}0.004{col 55}{space 4} .4045184{col 68}{space 3} 2.100255
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.5218031{col 27}{space 2} .3505334{col 38}{space 1}   -1.49{col 47}{space 3}0.137{col 55}{space 4}-1.208836{col 68}{space 3} .1652298
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-9.810552{col 27}{space 2} 2.036257{col 38}{space 1}   -4.82{col 47}{space 3}0.000{col 55}{space 4}-13.80154{col 68}{space 3}-5.819562
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo:  ivpois f_3 declaredsoe gdpcap gy1 lnpop polconiii polity2 lagmid lagterr  civ_lib rfe* dfe* if extraconstitutiol!=1, endog(empowerscore3 soe_emp)  exog(lwordsne lowrdsnesq int1 int2) 
{txt}note: rfe3 dropped because of collinearity
note: rfe4 dropped because of collinearity
note: rfe5 dropped because of collinearity
note: dfe1 dropped because of collinearity
note: dfe2 dropped because of collinearity
note: dfe3 dropped because of collinearity
note: dfe4 dropped because of collinearity
note: dfe5 dropped because of collinearity
note: dfe6 dropped because of collinearity
note: dfe7 dropped because of collinearity
note: dfe8 dropped because of collinearity
note: dfe9 dropped because of collinearity
note: dfe10 dropped because of collinearity
note: dfe11 dropped because of collinearity
note: dfe12 dropped because of collinearity
note: dfe13 dropped because of collinearity
note: dfe14 dropped because of collinearity
note: dfe15 dropped because of collinearity
note: dfe16 dropped because of collinearity
note: dfe17 dropped because of collinearity
note: dfe18 dropped because of collinearity
note: dfe22 dropped because of collinearity
{res}{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}f_3           {txt}{c |}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} -1.55466{col 27}{space 2} .4940845{col 38}{space 1}   -3.15{col 47}{space 3}0.002{col 55}{space 4}-2.523048{col 68}{space 3}-.5862724
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0506068{col 27}{space 2} .0464047{col 38}{space 1}   -1.09{col 47}{space 3}0.275{col 55}{space 4}-.1415582{col 68}{space 3} .0403447
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .3897674{col 27}{space 2} .0851628{col 38}{space 1}    4.58{col 47}{space 3}0.000{col 55}{space 4} .2228514{col 68}{space 3} .5566835
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} 1.462314{col 27}{space 2} .2309746{col 38}{space 1}    6.33{col 47}{space 3}0.000{col 55}{space 4} 1.009612{col 68}{space 3} 1.915016
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.724917{col 27}{space 2} .7862878{col 38}{space 1}   -2.19{col 47}{space 3}0.028{col 55}{space 4}-3.266013{col 68}{space 3}-.1838213
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0646092{col 27}{space 2} .2754474{col 38}{space 1}   -0.23{col 47}{space 3}0.815{col 55}{space 4}-.6044761{col 68}{space 3} .4752576
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} -.573071{col 27}{space 2}  .296484{col 38}{space 1}   -1.93{col 47}{space 3}0.053{col 55}{space 4}-1.154169{col 68}{space 3}  .008027
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2}-.0018158{col 27}{space 2} .0027937{col 38}{space 1}   -0.65{col 47}{space 3}0.516{col 55}{space 4}-.0072914{col 68}{space 3} .0036597
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .4642764{col 27}{space 2} .4653391{col 38}{space 1}    1.00{col 47}{space 3}0.318{col 55}{space 4}-.4477715{col 68}{space 3} 1.376324
{txt}{space 9}rfe1 {c |}{col 15}{res}{space 2}-1.879099{col 27}{space 2} .9375018{col 38}{space 1}   -2.00{col 47}{space 3}0.045{col 55}{space 4}-3.716569{col 68}{space 3}-.0416294
{txt}{space 9}rfe2 {c |}{col 15}{res}{space 2}-20.97307{col 27}{space 2}        .{col 38}{space 1}       .{col 47}{space 3}    .{col 55}{space 4}        .{col 68}{space 3}        .
{txt}{space 9}rfe6 {c |}{col 15}{res}{space 2}-4.048992{col 27}{space 2} .8287589{col 38}{space 1}   -4.89{col 47}{space 3}0.000{col 55}{space 4} -5.67333{col 68}{space 3}-2.424655
{txt}{space 8}dfe19 {c |}{col 15}{res}{space 2} .1209757{col 27}{space 2} .2494088{col 38}{space 1}    0.49{col 47}{space 3}0.628{col 55}{space 4}-.3678565{col 68}{space 3} .6098079
{txt}{space 8}dfe20 {c |}{col 15}{res}{space 2} .6903412{col 27}{space 2} .4505161{col 38}{space 1}    1.53{col 47}{space 3}0.125{col 55}{space 4}-.1926542{col 68}{space 3} 1.573337
{txt}{space 8}dfe21 {c |}{col 15}{res}{space 2}-1.197075{col 27}{space 2} .5678651{col 38}{space 1}   -2.11{col 47}{space 3}0.035{col 55}{space 4} -2.31007{col 68}{space 3}-.0840802
{txt}empowerscore3 {c |}{col 15}{res}{space 2}-.2099245{col 27}{space 2} .3541764{col 38}{space 1}   -0.59{col 47}{space 3}0.553{col 55}{space 4}-.9040975{col 68}{space 3} .4842486
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 3.592321{col 27}{space 2} .8149943{col 38}{space 1}    4.41{col 47}{space 3}0.000{col 55}{space 4} 1.994961{col 68}{space 3}  5.18968
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-20.55187{col 27}{space 2} 4.723575{col 38}{space 1}   -4.35{col 47}{space 3}0.000{col 55}{space 4} -29.8099{col 68}{space 3}-11.29383
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo:  ivreg2  ln_fatal_d3  declaredsoe gdpcap gy1 lnpop polconiii polity2 lagmid lagterr  civ_lib rfe* dfe* (empowerscore3 soe_emp = lwordsne lowrdsnesq int1 int2)  if extraconstitutiol!=1, gmm2s
{txt}Warning - collinearities detected
Vars dropped:{col 21}rfe3 rfe5 rfe6 dfe1 dfe2 dfe3 dfe4 dfe5 dfe6 dfe7 dfe8 dfe9
{col 21}dfe10 dfe11 dfe12 dfe13 dfe14 dfe15 dfe16 dfe17 dfe21 dfe22

2-Step GMM estimation
{hline 21}

Estimates efficient for homoskedasticity only
Statistics consistent for homoskedasticity only

                                   {col 55}Number of obs = {res}     915
{txt}{col 55}F( 17,   897) = {res}   83.60
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 4068.419334{txt}{col 55}Centered R2   = {res}  0.6066
{txt}Total (uncentered) SS   = {res} 5542.172103{txt}{col 55}Uncentered R2 = {res}  0.7112
{txt}Residual SS             = {res} 1600.450012{txt}{col 55}Root MSE      = {res}   1.323

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
empowerscore3 {c |}{col 15}{res}{space 2} .4755565{col 27}{space 2} .1807252{col 38}{space 1}    2.63{col 47}{space 3}0.009{col 55}{space 4} .1213415{col 68}{space 3} .8297714
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.3675706{col 27}{space 2} .2606283{col 38}{space 1}   -1.41{col 47}{space 3}0.158{col 55}{space 4}-.8783927{col 68}{space 3} .1432515
{txt}{space 2}declaredsoe {c |}{col 15}{res}{space 2} .3683719{col 27}{space 2} .2148843{col 38}{space 1}    1.71{col 47}{space 3}0.086{col 55}{space 4}-.0527936{col 68}{space 3} .7895375
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0337159{col 27}{space 2} .0142269{col 38}{space 1}   -2.37{col 47}{space 3}0.018{col 55}{space 4}-.0616001{col 68}{space 3}-.0058317
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0148432{col 27}{space 2} .0243088{col 38}{space 1}   -0.61{col 47}{space 3}0.541{col 55}{space 4}-.0624875{col 68}{space 3} .0328011
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .3212415{col 27}{space 2} .0428923{col 38}{space 1}    7.49{col 47}{space 3}0.000{col 55}{space 4}  .237174{col 68}{space 3}  .405309
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.1958316{col 27}{space 2} .3756551{col 38}{space 1}   -0.52{col 47}{space 3}0.602{col 55}{space 4} -.932102{col 68}{space 3} .5404388
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}  .051229{col 27}{space 2} .0644497{col 38}{space 1}    0.79{col 47}{space 3}0.427{col 55}{space 4}  -.07509{col 68}{space 3} .1775481
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0072882{col 27}{space 2} .1070593{col 38}{space 1}    0.07{col 47}{space 3}0.946{col 55}{space 4}-.2025441{col 68}{space 3} .2171206
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0107065{col 27}{space 2} .0005995{col 38}{space 1}   17.86{col 47}{space 3}0.000{col 55}{space 4} .0095315{col 68}{space 3} .0118815
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}  .448103{col 27}{space 2} .0879397{col 38}{space 1}    5.10{col 47}{space 3}0.000{col 55}{space 4} .2757443{col 68}{space 3} .6204616
{txt}{space 9}rfe1 {c |}{col 15}{res}{space 2}  .323496{col 27}{space 2} .2034132{col 38}{space 1}    1.59{col 47}{space 3}0.112{col 55}{space 4}-.0751865{col 68}{space 3} .7221786
{txt}{space 9}rfe2 {c |}{col 15}{res}{space 2} -.390504{col 27}{space 2} .2553054{col 38}{space 1}   -1.53{col 47}{space 3}0.126{col 55}{space 4}-.8908934{col 68}{space 3} .1098853
{txt}{space 9}rfe4 {c |}{col 15}{res}{space 2} 1.720204{col 27}{space 2} .2691767{col 38}{space 1}    6.39{col 47}{space 3}0.000{col 55}{space 4} 1.192627{col 68}{space 3}  2.24778
{txt}{space 8}dfe18 {c |}{col 15}{res}{space 2} 1.278633{col 27}{space 2} .1818717{col 38}{space 1}    7.03{col 47}{space 3}0.000{col 55}{space 4} .9221708{col 68}{space 3} 1.635095
{txt}{space 8}dfe19 {c |}{col 15}{res}{space 2} 1.313643{col 27}{space 2} .1473631{col 38}{space 1}    8.91{col 47}{space 3}0.000{col 55}{space 4} 1.024817{col 68}{space 3} 1.602469
{txt}{space 8}dfe20 {c |}{col 15}{res}{space 2} .1756573{col 27}{space 2} .1223972{col 38}{space 1}    1.44{col 47}{space 3}0.151{col 55}{space 4}-.0642369{col 68}{space 3} .4155514
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-6.116563{col 27}{space 2} .9562644{col 38}{space 1}   -6.40{col 47}{space 3}0.000{col 55}{space 4}-7.990807{col 68}{space 3}-4.242319
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Anderson canon. corr. LM statistic):{res}{col 71} 109.722
{txt}{col 52}Chi-sq({res}3{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  30.487
{txt}Stock-Yogo weak ID test critical values:{col 43}5% maximal IV relative bias{res}{col 73} 11.04
{txt}{col 42}10% maximal IV relative bias{res}{col 73}  7.56
{txt}{col 42}20% maximal IV relative bias{res}{col 73}  5.57
{txt}{col 42}30% maximal IV relative bias{res}{col 73}  4.73
{txt}{col 42}10% maximal IV size{res}{col 73} 16.87
{txt}{col 42}15% maximal IV size{res}{col 73}  9.93
{txt}{col 42}20% maximal IV size{res}{col 73}  7.54
{txt}{col 42}25% maximal IV size{res}{col 73}  6.28
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
{hline 78}
{help ivreg2##overidtests:Sargan statistic} (overidentification test of all instruments):{res}{col 71}   8.419
{txt}{col 52}Chi-sq({res}2{txt}) P-val =  {res}{col 73}0.0149
{txt}{hline 78}
Instrumented:{col 23}empowerscore3 soe_emp
Included instruments:{col 23}declaredsoe gdpcap gy1 lnpop polconiii polity2 lagmid
{col 23}lagterr civ_lib rfe1 rfe2 rfe4 dfe18 dfe19 dfe20
Excluded instruments:{col 23}lwordsne lowrdsnesq int1 int2
Dropped collinear:{col 23}rfe3 rfe5 rfe6 dfe1 dfe2 dfe3 dfe4 dfe5 dfe6 dfe7 dfe8
{col 23}dfe9 dfe10 dfe11 dfe12 dfe13 dfe14 dfe15 dfe16 dfe17 dfe21
{col 23}dfe22
{hline 78}
({res}est3{txt} stored)

{com}. eststo:  ivreg2 ln_fatal_f3 declaredsoe gdpcap gy1 lnpop polconiii polity2 lagmid lagterr  civ_lib rfe* dfe* (empowerscore3 soe_emp = lwordsne lowrdsnesq int1 int2)  if extraconstitutiol!=1, gmm2s
{txt}Warning - collinearities detected
Vars dropped:{col 21}rfe3 rfe5 rfe6 dfe1 dfe2 dfe3 dfe4 dfe5 dfe6 dfe7 dfe8 dfe9
{col 21}dfe10 dfe11 dfe12 dfe13 dfe14 dfe15 dfe16 dfe17 dfe21 dfe22

2-Step GMM estimation
{hline 21}

Estimates efficient for homoskedasticity only
Statistics consistent for homoskedasticity only

                                   {col 55}Number of obs = {res}     915
{txt}{col 55}F( 17,   897) = {res}  112.77
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 2507.485567{txt}{col 55}Centered R2   = {res}  0.6943
{txt}Total (uncentered) SS   = {res} 3003.625297{txt}{col 55}Uncentered R2 = {res}  0.7448
{txt}Residual SS             = {res} 766.6426106{txt}{col 55}Root MSE      = {res}   .9153

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
empowerscore3 {c |}{col 15}{res}{space 2}  .277068{col 27}{space 2} .1250818{col 38}{space 1}    2.22{col 47}{space 3}0.027{col 55}{space 4} .0319121{col 68}{space 3} .5222239
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .4410083{col 27}{space 2} .1803836{col 38}{space 1}    2.44{col 47}{space 3}0.014{col 55}{space 4} .0874629{col 68}{space 3} .7945536
{txt}{space 2}declaredsoe {c |}{col 15}{res}{space 2} .0105229{col 27}{space 2} .1487237{col 38}{space 1}    0.07{col 47}{space 3}0.944{col 55}{space 4}-.2809702{col 68}{space 3}  .302016
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0354064{col 27}{space 2} .0098466{col 38}{space 1}   -3.60{col 47}{space 3}0.000{col 55}{space 4}-.0547054{col 68}{space 3}-.0161075
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0120411{col 27}{space 2} .0168244{col 38}{space 1}    0.72{col 47}{space 3}0.474{col 55}{space 4} -.020934{col 68}{space 3} .0450162
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .1957181{col 27}{space 2} .0296862{col 38}{space 1}    6.59{col 47}{space 3}0.000{col 55}{space 4} .1375341{col 68}{space 3} .2539021
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.6898733{col 27}{space 2} .2599948{col 38}{space 1}   -2.65{col 47}{space 3}0.008{col 55}{space 4}-1.199454{col 68}{space 3}-.1802928
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0358741{col 27}{space 2} .0446063{col 38}{space 1}    0.80{col 47}{space 3}0.421{col 55}{space 4}-.0515527{col 68}{space 3} .1233008
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0363626{col 27}{space 2} .0740969{col 38}{space 1}   -0.49{col 47}{space 3}0.624{col 55}{space 4}-.1815898{col 68}{space 3} .1088646
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0044097{col 27}{space 2} .0004149{col 38}{space 1}   10.63{col 47}{space 3}0.000{col 55}{space 4} .0035965{col 68}{space 3} .0052229
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.1451686{col 27}{space 2}  .060864{col 38}{space 1}   -2.39{col 47}{space 3}0.017{col 55}{space 4}-.2644598{col 68}{space 3}-.0258774
{txt}{space 9}rfe1 {c |}{col 15}{res}{space 2} .9914411{col 27}{space 2} .1407844{col 38}{space 1}    7.04{col 47}{space 3}0.000{col 55}{space 4} .7155087{col 68}{space 3} 1.267373
{txt}{space 9}rfe2 {c |}{col 15}{res}{space 2} .3601545{col 27}{space 2} .1766995{col 38}{space 1}    2.04{col 47}{space 3}0.042{col 55}{space 4} .0138298{col 68}{space 3} .7064793
{txt}{space 9}rfe4 {c |}{col 15}{res}{space 2} 4.558024{col 27}{space 2}    .1863{col 38}{space 1}   24.47{col 47}{space 3}0.000{col 55}{space 4} 4.192883{col 68}{space 3} 4.923166
{txt}{space 8}dfe18 {c |}{col 15}{res}{space 2} .3455431{col 27}{space 2} .1258753{col 38}{space 1}    2.75{col 47}{space 3}0.006{col 55}{space 4} .0988319{col 68}{space 3} .5922542
{txt}{space 8}dfe19 {c |}{col 15}{res}{space 2} .3297103{col 27}{space 2} .1019915{col 38}{space 1}    3.23{col 47}{space 3}0.001{col 55}{space 4} .1298106{col 68}{space 3}   .52961
{txt}{space 8}dfe20 {c |}{col 15}{res}{space 2} .0432431{col 27}{space 2} .0847124{col 38}{space 1}    0.51{col 47}{space 3}0.610{col 55}{space 4}-.1227901{col 68}{space 3} .2092764
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.962458{col 27}{space 2} .6618406{col 38}{space 1}   -4.48{col 47}{space 3}0.000{col 55}{space 4}-4.259642{col 68}{space 3}-1.665275
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Anderson canon. corr. LM statistic):{res}{col 71} 109.722
{txt}{col 52}Chi-sq({res}3{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  30.487
{txt}Stock-Yogo weak ID test critical values:{col 43}5% maximal IV relative bias{res}{col 73} 11.04
{txt}{col 42}10% maximal IV relative bias{res}{col 73}  7.56
{txt}{col 42}20% maximal IV relative bias{res}{col 73}  5.57
{txt}{col 42}30% maximal IV relative bias{res}{col 73}  4.73
{txt}{col 42}10% maximal IV size{res}{col 73} 16.87
{txt}{col 42}15% maximal IV size{res}{col 73}  9.93
{txt}{col 42}20% maximal IV size{res}{col 73}  7.54
{txt}{col 42}25% maximal IV size{res}{col 73}  6.28
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
{hline 78}
{help ivreg2##overidtests:Sargan statistic} (overidentification test of all instruments):{res}{col 71}  14.777
{txt}{col 52}Chi-sq({res}2{txt}) P-val =  {res}{col 73}0.0006
{txt}{hline 78}
Instrumented:{col 23}empowerscore3 soe_emp
Included instruments:{col 23}declaredsoe gdpcap gy1 lnpop polconiii polity2 lagmid
{col 23}lagterr civ_lib rfe1 rfe2 rfe4 dfe18 dfe19 dfe20
Excluded instruments:{col 23}lwordsne lowrdsnesq int1 int2
Dropped collinear:{col 23}rfe3 rfe5 rfe6 dfe1 dfe2 dfe3 dfe4 dfe5 dfe6 dfe7 dfe8
{col 23}dfe9 dfe10 dfe11 dfe12 dfe13 dfe14 dfe15 dfe16 dfe17 dfe21
{col 23}dfe22
{hline 78}
({res}est4{txt} stored)

{com}. estout using "Model_main_iv.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_main_iv.tex"'})

{com}. eststo clear
{txt}
{com}. 
. 
. //Civil War
. 
. label var civwar "Civil War"
{txt}
{com}. label var actcivwar "Active Civil War"
{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3 actcivwar $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-300566.29}  
Iteration 1:{space 3}log pseudolikelihood = {res:-208231.08}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res: -107461.4}  
Iteration 3:{space 3}log pseudolikelihood = {res:-76901.894}  
Iteration 4:{space 3}log pseudolikelihood = {res: -26050.38}  
Iteration 5:{space 3}log pseudolikelihood = {res: -23544.28}  
Iteration 6:{space 3}log pseudolikelihood = {res:-23405.606}  
Iteration 7:{space 3}log pseudolikelihood = {res:-23405.076}  
Iteration 8:{space 3}log pseudolikelihood = {res: -23405.07}  
Iteration 9:{space 3}log pseudolikelihood = {res: -23405.07}  
Iteration 10:{space 2}log pseudolikelihood = {res: -23405.07}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5304.1139}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3515.4654}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3515.4606}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3515.4606}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3434.9392}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3213.4096}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3156.1095}  
Iteration 3:{space 3}log pseudolikelihood = {res: -3035.151}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3026.9245}  
Iteration 5:{space 3}log pseudolikelihood = {res: -3026.882}  
Iteration 6:{space 3}log pseudolikelihood = {res: -3026.882}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,120
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}  11590.26
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -3026.882{txt}{col 49}Pseudo R2{col 67}= {res}    0.1390

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .6436147{col 27}{space 2} .3003451{col 38}{space 1}    2.14{col 47}{space 3}0.032{col 55}{space 4} .0549492{col 68}{space 3}  1.23228
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-1.049621{col 27}{space 2} .2221283{col 38}{space 1}   -4.73{col 47}{space 3}0.000{col 55}{space 4}-1.484984{col 68}{space 3}-.6142576
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3176615{col 27}{space 2} .0839109{col 38}{space 1}    3.79{col 47}{space 3}0.000{col 55}{space 4} .1531992{col 68}{space 3} .4821239
{txt}{space 4}actcivwar {c |}{col 15}{res}{space 2} 2.211732{col 27}{space 2} .2852828{col 38}{space 1}    7.75{col 47}{space 3}0.000{col 55}{space 4} 1.652588{col 68}{space 3} 2.770876
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .9849815{col 27}{space 2} .0579376{col 38}{space 1}   17.00{col 47}{space 3}0.000{col 55}{space 4} .8714259{col 68}{space 3} 1.098537
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.1334944{col 27}{space 2} .0181662{col 38}{space 1}   -7.35{col 47}{space 3}0.000{col 55}{space 4}-.1690995{col 68}{space 3}-.0978892
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0404602{col 27}{space 2} .0443756{col 38}{space 1}   -0.91{col 47}{space 3}0.362{col 55}{space 4}-.1274348{col 68}{space 3} .0465144
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .2857625{col 27}{space 2}  .124619{col 38}{space 1}    2.29{col 47}{space 3}0.022{col 55}{space 4} .0415137{col 68}{space 3} .5300112
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .1990354{col 27}{space 2} .5113168{col 38}{space 1}    0.39{col 47}{space 3}0.697{col 55}{space 4}-.8031272{col 68}{space 3} 1.201198
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0159671{col 27}{space 2} .0727294{col 38}{space 1}   -0.22{col 47}{space 3}0.826{col 55}{space 4}-.1585141{col 68}{space 3}   .12658
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0264626{col 27}{space 2} .1335769{col 38}{space 1}    0.20{col 47}{space 3}0.843{col 55}{space 4}-.2353434{col 68}{space 3} .2882686
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0044849{col 27}{space 2} .0010238{col 38}{space 1}    4.38{col 47}{space 3}0.000{col 55}{space 4} .0024783{col 68}{space 3} .0064915
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-22.90344{col 27}{space 2} .4395585{col 38}{space 1}  -52.11{col 47}{space 3}0.000{col 55}{space 4}-23.76495{col 68}{space 3}-22.04192
{txt}{space 11}5  {c |}{col 15}{res}{space 2}-.7450664{col 27}{space 2} .3599646{col 38}{space 1}   -2.07{col 47}{space 3}0.038{col 55}{space 4}-1.450584{col 68}{space 3}-.0395487
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.861548{col 27}{space 2} .2544035{col 38}{space 1}   -7.32{col 47}{space 3}0.000{col 55}{space 4} -2.36017{col 68}{space 3}-1.362926
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .2917411{col 27}{space 2} .1680132{col 38}{space 1}    1.74{col 47}{space 3}0.082{col 55}{space 4}-.0375587{col 68}{space 3} .6210409
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0713027{col 27}{space 2} .1933021{col 38}{space 1}   -0.37{col 47}{space 3}0.712{col 55}{space 4}-.4501679{col 68}{space 3} .3075625
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.7642743{col 27}{space 2} .2433245{col 38}{space 1}   -3.14{col 47}{space 3}0.002{col 55}{space 4}-1.241181{col 68}{space 3}-.2873671
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-12.38978{col 27}{space 2} 1.249484{col 38}{space 1}   -9.92{col 47}{space 3}0.000{col 55}{space 4}-14.83872{col 68}{space 3} -9.94084
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} .9249231{col 27}{space 2} .0596915{col 55}{space 4} .8079299{col 68}{space 3} 1.041916
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.521674{col 27}{space 2} .1505226{col 55}{space 4} 2.243259{col 68}{space 3} 2.834644
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3 actcivwar $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-65557.846}  
Iteration 1:{space 3}log pseudolikelihood = {res:-30429.166}  
Iteration 2:{space 3}log pseudolikelihood = {res:-16257.082}  
Iteration 3:{space 3}log pseudolikelihood = {res:-9475.7414}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9059.7935}  
Iteration 5:{space 3}log pseudolikelihood = {res: -9051.551}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9051.4852}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9051.4742}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9051.4716}  
Iteration 9:{space 3}log pseudolikelihood = {res: -9051.471}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9051.4709}  
Iteration 11:{space 2}log pseudolikelihood = {res:-9051.4709}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4495.7169}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2388.5037}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2384.6713}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2384.6599}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2384.6599}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2349.6828}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2199.9463}  
Iteration 2:{space 3}log pseudolikelihood = {res: -2082.361}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2030.7688}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2022.8839}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2022.8783}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2022.8783}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,120
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}   1374.36
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2022.8783{txt}{col 49}Pseudo R2{col 67}= {res}    0.1517

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.4934292{col 27}{space 2} .4425027{col 38}{space 1}   -1.12{col 47}{space 3}0.265{col 55}{space 4}-1.360719{col 68}{space 3} .3738601
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.277889{col 27}{space 2} .2743013{col 38}{space 1}    4.66{col 47}{space 3}0.000{col 55}{space 4} .7402679{col 68}{space 3} 1.815509
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3401089{col 27}{space 2} .1099465{col 38}{space 1}    3.09{col 47}{space 3}0.002{col 55}{space 4} .1246178{col 68}{space 3}    .5556
{txt}{space 4}actcivwar {c |}{col 15}{res}{space 2} -.399573{col 27}{space 2} .3413029{col 38}{space 1}   -1.17{col 47}{space 3}0.242{col 55}{space 4}-1.068514{col 68}{space 3} .2693684
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .8556165{col 27}{space 2}  .076023{col 38}{space 1}   11.25{col 47}{space 3}0.000{col 55}{space 4} .7066142{col 68}{space 3} 1.004619
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0191353{col 27}{space 2} .0224536{col 38}{space 1}   -0.85{col 47}{space 3}0.394{col 55}{space 4}-.0631435{col 68}{space 3} .0248729
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .5094544{col 27}{space 2} .0771317{col 38}{space 1}    6.60{col 47}{space 3}0.000{col 55}{space 4} .3582789{col 68}{space 3} .6606298
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0550212{col 27}{space 2}  .212809{col 38}{space 1}    0.26{col 47}{space 3}0.796{col 55}{space 4}-.3620768{col 68}{space 3} .4721191
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.843684{col 27}{space 2} .7612379{col 38}{space 1}   -2.42{col 47}{space 3}0.015{col 55}{space 4}-3.335683{col 68}{space 3}-.3516852
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0760123{col 27}{space 2} .1605643{col 38}{space 1}    0.47{col 47}{space 3}0.636{col 55}{space 4} -.238688{col 68}{space 3} .3907126
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}  .021193{col 27}{space 2} .1553977{col 38}{space 1}    0.14{col 47}{space 3}0.892{col 55}{space 4}-.2833809{col 68}{space 3} .3257668
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0077193{col 27}{space 2}   .00152{col 38}{space 1}    5.08{col 47}{space 3}0.000{col 55}{space 4} .0047401{col 68}{space 3} .0106985
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-21.02169{col 27}{space 2} 1.049051{col 38}{space 1}  -20.04{col 47}{space 3}0.000{col 55}{space 4}-23.07779{col 68}{space 3}-18.96559
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.097821{col 27}{space 2} .4545725{col 38}{space 1}    6.81{col 47}{space 3}0.000{col 55}{space 4} 2.206875{col 68}{space 3} 3.988767
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.841643{col 27}{space 2} .4387702{col 38}{space 1}   -4.20{col 47}{space 3}0.000{col 55}{space 4}-2.701617{col 68}{space 3}-.9816693
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0143679{col 27}{space 2} .1667963{col 38}{space 1}    0.09{col 47}{space 3}0.931{col 55}{space 4}-.3125469{col 68}{space 3} .3412826
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.2323477{col 27}{space 2} .3090738{col 38}{space 1}   -0.75{col 47}{space 3}0.452{col 55}{space 4}-.8381211{col 68}{space 3} .3734258
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.233429{col 27}{space 2}  .339385{col 38}{space 1}   -3.63{col 47}{space 3}0.000{col 55}{space 4}-1.898611{col 68}{space 3}-.5682468
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} -14.2518{col 27}{space 2} 2.512473{col 38}{space 1}   -5.67{col 47}{space 3}0.000{col 55}{space 4}-19.17615{col 68}{space 3}-9.327442
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.296684{col 27}{space 2} .0876767{col 55}{space 4}  1.12484{col 68}{space 3} 1.468527
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 3.657148{col 27}{space 2} .3206468{col 55}{space 4} 3.079725{col 68}{space 3} 4.342833
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3 actcivwar $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,120
                                                {txt}F(18, 1101)       =  {res}    86.05
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6752
                                                {txt}Root MSE          =    {res} 1.1627

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .0451134{col 27}{space 2} .1534998{col 38}{space 1}    0.29{col 47}{space 3}0.769{col 55}{space 4}-.2560717{col 68}{space 3} .3462985
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.4441775{col 27}{space 2} .1458731{col 38}{space 1}   -3.04{col 47}{space 3}0.002{col 55}{space 4}-.7303982{col 68}{space 3}-.1579569
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1375577{col 27}{space 2} .0381622{col 38}{space 1}    3.60{col 47}{space 3}0.000{col 55}{space 4} .0626789{col 68}{space 3} .2124365
{txt}{space 4}actcivwar {c |}{col 15}{res}{space 2} 2.573439{col 27}{space 2} .3019734{col 38}{space 1}    8.52{col 47}{space 3}0.000{col 55}{space 4} 1.980931{col 68}{space 3} 3.165947
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .3003588{col 27}{space 2} .0343679{col 38}{space 1}    8.74{col 47}{space 3}0.000{col 55}{space 4} .2329248{col 68}{space 3} .3677928
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0603306{col 27}{space 2} .0097519{col 38}{space 1}   -6.19{col 47}{space 3}0.000{col 55}{space 4}-.0794651{col 68}{space 3}-.0411961
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0084279{col 27}{space 2} .0209279{col 38}{space 1}    0.40{col 47}{space 3}0.687{col 55}{space 4}-.0326352{col 68}{space 3} .0494911
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3436788{col 27}{space 2} .0785304{col 38}{space 1}    4.38{col 47}{space 3}0.000{col 55}{space 4} .1895927{col 68}{space 3} .4977649
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.2291866{col 27}{space 2} .2540226{col 38}{space 1}   -0.90{col 47}{space 3}0.367{col 55}{space 4}-.7276097{col 68}{space 3} .2692366
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0194528{col 27}{space 2} .0572606{col 38}{space 1}    0.34{col 47}{space 3}0.734{col 55}{space 4}-.0928994{col 68}{space 3}  .131805
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0933057{col 27}{space 2} .0903177{col 38}{space 1}    1.03{col 47}{space 3}0.302{col 55}{space 4}-.0839086{col 68}{space 3} .2705201
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0071086{col 27}{space 2} .0009444{col 38}{space 1}    7.53{col 47}{space 3}0.000{col 55}{space 4} .0052555{col 68}{space 3} .0089617
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-1.034926{col 27}{space 2} .1820485{col 38}{space 1}   -5.68{col 47}{space 3}0.000{col 55}{space 4}-1.392127{col 68}{space 3}-.6777253
{txt}{space 11}5  {c |}{col 15}{res}{space 2}-.0961412{col 27}{space 2} .3149465{col 38}{space 1}   -0.31{col 47}{space 3}0.760{col 55}{space 4}-.7141044{col 68}{space 3}  .521822
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.6143935{col 27}{space 2} .1576031{col 38}{space 1}   -3.90{col 47}{space 3}0.000{col 55}{space 4}-.9236299{col 68}{space 3}-.3051571
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .2202325{col 27}{space 2} .1229675{col 38}{space 1}    1.79{col 47}{space 3}0.074{col 55}{space 4}-.0210447{col 68}{space 3} .4615096
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.4287149{col 27}{space 2} .1207625{col 38}{space 1}   -3.55{col 47}{space 3}0.000{col 55}{space 4}-.6656655{col 68}{space 3}-.1917642
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.5161565{col 27}{space 2} .1308591{col 38}{space 1}   -3.94{col 47}{space 3}0.000{col 55}{space 4} -.772918{col 68}{space 3} -.259395
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.649278{col 27}{space 2} .8905092{col 38}{space 1}   -4.10{col 47}{space 3}0.000{col 55}{space 4}-5.396565{col 68}{space 3}-1.901991
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3 actcivwar $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,120
                                                {txt}F(18, 1101)       =  {res}    76.50
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6477
                                                {txt}Root MSE          =    {res} .99688

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.2244377{col 27}{space 2} .1035978{col 38}{space 1}   -2.17{col 47}{space 3}0.030{col 55}{space 4}-.4277091{col 68}{space 3}-.0211664
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .7368323{col 27}{space 2}  .116946{col 38}{space 1}    6.30{col 47}{space 3}0.000{col 55}{space 4} .5073701{col 68}{space 3} .9662944
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .2014672{col 27}{space 2} .0369192{col 38}{space 1}    5.46{col 47}{space 3}0.000{col 55}{space 4} .1290273{col 68}{space 3} .2739072
{txt}{space 4}actcivwar {c |}{col 15}{res}{space 2} .3165076{col 27}{space 2}  .215597{col 38}{space 1}    1.47{col 47}{space 3}0.142{col 55}{space 4}-.1065198{col 68}{space 3}  .739535
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .2042925{col 27}{space 2} .0272793{col 38}{space 1}    7.49{col 47}{space 3}0.000{col 55}{space 4} .1507672{col 68}{space 3} .2578178
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0585015{col 27}{space 2} .0085791{col 38}{space 1}   -6.82{col 47}{space 3}0.000{col 55}{space 4}-.0753347{col 68}{space 3}-.0416682
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0179977{col 27}{space 2} .0161137{col 38}{space 1}    1.12{col 47}{space 3}0.264{col 55}{space 4}-.0136194{col 68}{space 3} .0496147
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.1054942{col 27}{space 2} .0583455{col 38}{space 1}   -1.81{col 47}{space 3}0.071{col 55}{space 4}-.2199751{col 68}{space 3} .0089867
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.8009176{col 27}{space 2} .2083241{col 38}{space 1}   -3.84{col 47}{space 3}0.000{col 55}{space 4}-1.209675{col 68}{space 3}-.3921604
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1039567{col 27}{space 2} .0417478{col 38}{space 1}    2.49{col 47}{space 3}0.013{col 55}{space 4} .0220425{col 68}{space 3} .1858709
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0430058{col 27}{space 2} .0772205{col 38}{space 1}   -0.56{col 47}{space 3}0.578{col 55}{space 4}-.1945216{col 68}{space 3} .1085101
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0046799{col 27}{space 2} .0008681{col 38}{space 1}    5.39{col 47}{space 3}0.000{col 55}{space 4} .0029766{col 68}{space 3} .0063833
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.7567725{col 27}{space 2}  .153291{col 38}{space 1}   -4.94{col 47}{space 3}0.000{col 55}{space 4}-1.057548{col 68}{space 3} -.455997
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 2.891371{col 27}{space 2} .2551438{col 38}{space 1}   11.33{col 47}{space 3}0.000{col 55}{space 4} 2.390748{col 68}{space 3} 3.391994
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.205609{col 27}{space 2} .1371983{col 38}{space 1}   -8.79{col 47}{space 3}0.000{col 55}{space 4}-1.474809{col 68}{space 3}-.9364096
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2}  .200773{col 27}{space 2} .1100061{col 38}{space 1}    1.83{col 47}{space 3}0.068{col 55}{space 4}-.0150723{col 68}{space 3} .4166183
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0544342{col 27}{space 2} .0967759{col 38}{space 1}   -0.56{col 47}{space 3}0.574{col 55}{space 4}-.2443202{col 68}{space 3} .1354518
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0114896{col 27}{space 2} .1025876{col 38}{space 1}   -0.11{col 47}{space 3}0.911{col 55}{space 4}-.2127789{col 68}{space 3} .1897997
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.219335{col 27}{space 2} .6825528{col 38}{space 1}   -3.25{col 47}{space 3}0.001{col 55}{space 4}-3.558586{col 68}{space 3} -.880084
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_civwar_main.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X actcivwar _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X actcivwar _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_civwar_main.tex"'})

{com}. eststo clear
{txt}
{com}. 
. 
. 
. //Backlash
. label var anti "Vigilante Terror Violence"
{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3 anti $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-395058.87}  
Iteration 1:{space 3}log pseudolikelihood = {res:-341200.14}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-230211.58}  
Iteration 3:{space 3}log pseudolikelihood = {res:-123825.16}  
Iteration 4:{space 3}log pseudolikelihood = {res:-52933.975}  
Iteration 5:{space 3}log pseudolikelihood = {res:-29841.931}  
Iteration 6:{space 3}log pseudolikelihood = {res:-28147.009}  
Iteration 7:{space 3}log pseudolikelihood = {res:-28092.945}  
Iteration 8:{space 3}log pseudolikelihood = {res:-28092.807}  
Iteration 9:{space 3}log pseudolikelihood = {res:-28092.807}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3459.5395}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -3248.957}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3106.6746}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3059.3502}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3057.1354}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3057.1312}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3057.1312}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}  11479.60
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3057.1312{txt}{col 49}Pseudo R2{col 67}= {res}    0.1318

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .6393172{col 27}{space 2} .2637265{col 38}{space 1}    2.42{col 47}{space 3}0.015{col 55}{space 4} .1224227{col 68}{space 3} 1.156212
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.5242525{col 27}{space 2} .2327721{col 38}{space 1}   -2.25{col 47}{space 3}0.024{col 55}{space 4}-.9804774{col 68}{space 3}-.0680275
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .2568804{col 27}{space 2} .0905827{col 38}{space 1}    2.84{col 47}{space 3}0.005{col 55}{space 4} .0793415{col 68}{space 3} .4344193
{txt}{space 9}anti {c |}{col 15}{res}{space 2}-.0458529{col 27}{space 2} .0174619{col 38}{space 1}   -2.63{col 47}{space 3}0.009{col 55}{space 4}-.0800775{col 68}{space 3}-.0116283
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} 1.019311{col 27}{space 2} .0657255{col 38}{space 1}   15.51{col 47}{space 3}0.000{col 55}{space 4} .8904918{col 68}{space 3} 1.148131
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0894217{col 27}{space 2} .0189802{col 38}{space 1}   -4.71{col 47}{space 3}0.000{col 55}{space 4}-.1266222{col 68}{space 3}-.0522212
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0133614{col 27}{space 2} .0421701{col 38}{space 1}    0.32{col 47}{space 3}0.751{col 55}{space 4}-.0692904{col 68}{space 3} .0960132
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .5105261{col 27}{space 2} .1325931{col 38}{space 1}    3.85{col 47}{space 3}0.000{col 55}{space 4} .2506484{col 68}{space 3} .7704039
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .1309142{col 27}{space 2} .5671617{col 38}{space 1}    0.23{col 47}{space 3}0.817{col 55}{space 4}-.9807024{col 68}{space 3} 1.242531
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0960329{col 27}{space 2} .0873269{col 38}{space 1}   -1.10{col 47}{space 3}0.271{col 55}{space 4}-.2671904{col 68}{space 3} .0751246
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0148194{col 27}{space 2} .1457822{col 38}{space 1}   -0.10{col 47}{space 3}0.919{col 55}{space 4}-.3005473{col 68}{space 3} .2709084
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0099218{col 27}{space 2} .0013819{col 38}{space 1}    7.18{col 47}{space 3}0.000{col 55}{space 4} .0072133{col 68}{space 3} .0126303
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-22.12623{col 27}{space 2} .4057197{col 38}{space 1}  -54.54{col 47}{space 3}0.000{col 55}{space 4}-22.92142{col 68}{space 3}-21.33103
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .6148065{col 27}{space 2} .3489786{col 38}{space 1}    1.76{col 47}{space 3}0.078{col 55}{space 4}-.0691789{col 68}{space 3} 1.298792
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.231957{col 27}{space 2} .2642801{col 38}{space 1}   -4.66{col 47}{space 3}0.000{col 55}{space 4}-1.749936{col 68}{space 3}-.7139775
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0997792{col 27}{space 2} .1766664{col 38}{space 1}    0.56{col 47}{space 3}0.572{col 55}{space 4}-.2464806{col 68}{space 3}  .446039
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.4572669{col 27}{space 2} .1943543{col 38}{space 1}   -2.35{col 47}{space 3}0.019{col 55}{space 4}-.8381944{col 68}{space 3}-.0763394
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.118974{col 27}{space 2} .2519383{col 38}{space 1}   -4.44{col 47}{space 3}0.000{col 55}{space 4}-1.612764{col 68}{space 3} -.625184
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} -13.2739{col 27}{space 2} 1.548655{col 38}{space 1}   -8.57{col 47}{space 3}0.000{col 55}{space 4}-16.30921{col 68}{space 3}-10.23859
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.012441{col 27}{space 2} .0568062{col 55}{space 4}  .901103{col 68}{space 3} 1.123779
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.752311{col 27}{space 2} .1563483{col 55}{space 4} 2.462318{col 68}{space 3} 3.076459
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3 anti $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202142.57}  
Iteration 1:{space 3}log pseudolikelihood = {res:-143056.93}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-85239.572}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-42852.874}  
Iteration 4:{space 3}log pseudolikelihood = {res:-16133.734}  
Iteration 5:{space 3}log pseudolikelihood = {res:-10018.282}  
Iteration 6:{space 3}log pseudolikelihood = {res: -9859.102}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9858.5433}  
Iteration 8:{space 3}log pseudolikelihood = {res: -9858.543}  
Iteration 9:{space 3}log pseudolikelihood = {res: -9858.543}  
Iteration 10:{space 2}log pseudolikelihood = {res: -9858.543}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2364.1431}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2214.2789}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2096.8496}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2038.5849}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2023.5656}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2023.1992}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2023.1981}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2023.1981}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}   1810.28
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2023.1981{txt}{col 49}Pseudo R2{col 67}= {res}    0.1527

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.4556224{col 27}{space 2} .4597101{col 38}{space 1}   -0.99{col 47}{space 3}0.322{col 55}{space 4}-1.356638{col 68}{space 3} .4453929
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.123283{col 27}{space 2} .2914745{col 38}{space 1}    3.85{col 47}{space 3}0.000{col 55}{space 4} .5520035{col 68}{space 3} 1.694562
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3489735{col 27}{space 2} .1104132{col 38}{space 1}    3.16{col 47}{space 3}0.002{col 55}{space 4} .1325676{col 68}{space 3} .5653794
{txt}{space 9}anti {c |}{col 15}{res}{space 2} .0150753{col 27}{space 2} .0107371{col 38}{space 1}    1.40{col 47}{space 3}0.160{col 55}{space 4}-.0059689{col 68}{space 3} .0361196
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .8501974{col 27}{space 2}  .076676{col 38}{space 1}   11.09{col 47}{space 3}0.000{col 55}{space 4} .6999152{col 68}{space 3}  1.00048
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0224923{col 27}{space 2} .0228041{col 38}{space 1}   -0.99{col 47}{space 3}0.324{col 55}{space 4}-.0671875{col 68}{space 3} .0222029
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .5085382{col 27}{space 2} .0778661{col 38}{space 1}    6.53{col 47}{space 3}0.000{col 55}{space 4} .3559235{col 68}{space 3}  .661153
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}  .067943{col 27}{space 2} .2105071{col 38}{space 1}    0.32{col 47}{space 3}0.747{col 55}{space 4}-.3446434{col 68}{space 3} .4805293
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.818448{col 27}{space 2} .7653797{col 38}{space 1}   -2.38{col 47}{space 3}0.018{col 55}{space 4}-3.318564{col 68}{space 3}-.3183309
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0924848{col 27}{space 2} .1583683{col 38}{space 1}    0.58{col 47}{space 3}0.559{col 55}{space 4}-.2179114{col 68}{space 3} .4028811
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0246803{col 27}{space 2}  .154629{col 38}{space 1}    0.16{col 47}{space 3}0.873{col 55}{space 4} -.278387{col 68}{space 3} .3277477
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0065728{col 27}{space 2} .0010891{col 38}{space 1}    6.03{col 47}{space 3}0.000{col 55}{space 4} .0044381{col 68}{space 3} .0087074
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-22.63615{col 27}{space 2} .9397356{col 38}{space 1}  -24.09{col 47}{space 3}0.000{col 55}{space 4}-24.47799{col 68}{space 3} -20.7943
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 2.833079{col 27}{space 2} .3447372{col 38}{space 1}    8.22{col 47}{space 3}0.000{col 55}{space 4} 2.157407{col 68}{space 3} 3.508752
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.912052{col 27}{space 2} .4380409{col 38}{space 1}   -4.37{col 47}{space 3}0.000{col 55}{space 4}-2.770596{col 68}{space 3}-1.053507
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0345428{col 27}{space 2} .1672545{col 38}{space 1}    0.21{col 47}{space 3}0.836{col 55}{space 4}  -.29327{col 68}{space 3} .3623555
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.2030064{col 27}{space 2} .3126829{col 38}{space 1}   -0.65{col 47}{space 3}0.516{col 55}{space 4}-.8158537{col 68}{space 3} .4098409
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.196095{col 27}{space 2} .3433104{col 38}{space 1}   -3.48{col 47}{space 3}0.000{col 55}{space 4}-1.868971{col 68}{space 3}-.5232186
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-14.28358{col 27}{space 2}  2.51028{col 38}{space 1}   -5.69{col 47}{space 3}0.000{col 55}{space 4}-19.20364{col 68}{space 3}-9.363525
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.299249{col 27}{space 2} .0881473{col 55}{space 4} 1.126483{col 68}{space 3} 1.472014
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 3.666541{col 27}{space 2} .3231956{col 55}{space 4} 3.084789{col 68}{space 3} 4.358004
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3 anti $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(18, 1109)       =  {res}    60.82
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6187
                                                {txt}Root MSE          =    {res} 1.2568

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .2427322{col 27}{space 2} .1543057{col 38}{space 1}    1.57{col 47}{space 3}0.116{col 55}{space 4}-.0600318{col 68}{space 3} .5454962
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.0741223{col 27}{space 2} .1505329{col 38}{space 1}   -0.49{col 47}{space 3}0.623{col 55}{space 4}-.3694839{col 68}{space 3} .2212392
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1405662{col 27}{space 2} .0400799{col 38}{space 1}    3.51{col 47}{space 3}0.000{col 55}{space 4} .0619252{col 68}{space 3} .2192072
{txt}{space 9}anti {c |}{col 15}{res}{space 2}-.0384068{col 27}{space 2}  .021781{col 38}{space 1}   -1.76{col 47}{space 3}0.078{col 55}{space 4}-.0811434{col 68}{space 3} .0043298
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .3183195{col 27}{space 2} .0367085{col 38}{space 1}    8.67{col 47}{space 3}0.000{col 55}{space 4} .2462936{col 68}{space 3} .3903454
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0330123{col 27}{space 2}  .010115{col 38}{space 1}   -3.26{col 47}{space 3}0.001{col 55}{space 4}-.0528591{col 68}{space 3}-.0131655
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0204547{col 27}{space 2} .0226971{col 38}{space 1}    0.90{col 47}{space 3}0.368{col 55}{space 4}-.0240794{col 68}{space 3} .0649888
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3739441{col 27}{space 2} .0865393{col 38}{space 1}    4.32{col 47}{space 3}0.000{col 55}{space 4} .2041449{col 68}{space 3} .5437432
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.2927252{col 27}{space 2} .3063067{col 38}{space 1}   -0.96{col 47}{space 3}0.339{col 55}{space 4}-.8937312{col 68}{space 3} .3082808
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}  -.03782{col 27}{space 2}  .060988{col 38}{space 1}   -0.62{col 47}{space 3}0.535{col 55}{space 4}-.1574849{col 68}{space 3} .0818449
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0880111{col 27}{space 2} .0962691{col 38}{space 1}    0.91{col 47}{space 3}0.361{col 55}{space 4} -.100879{col 68}{space 3} .2769011
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0121586{col 27}{space 2} .0010805{col 38}{space 1}   11.25{col 47}{space 3}0.000{col 55}{space 4} .0100385{col 68}{space 3} .0142787
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.7074196{col 27}{space 2} .1938559{col 38}{space 1}   -3.65{col 47}{space 3}0.000{col 55}{space 4}-1.087785{col 68}{space 3}-.3270538
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 1.441109{col 27}{space 2} .2486178{col 38}{space 1}    5.80{col 47}{space 3}0.000{col 55}{space 4} .9532947{col 68}{space 3} 1.928923
{txt}{space 11}7  {c |}{col 15}{res}{space 2} -.244276{col 27}{space 2} .1682293{col 38}{space 1}   -1.45{col 47}{space 3}0.147{col 55}{space 4}-.5743596{col 68}{space 3} .0858075
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1042028{col 27}{space 2} .1303729{col 38}{space 1}    0.80{col 47}{space 3}0.424{col 55}{space 4}-.1516026{col 68}{space 3} .3600082
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.7047305{col 27}{space 2} .1359132{col 38}{space 1}   -5.19{col 47}{space 3}0.000{col 55}{space 4}-.9714065{col 68}{space 3}-.4380546
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.8295302{col 27}{space 2} .1544086{col 38}{space 1}   -5.37{col 47}{space 3}0.000{col 55}{space 4}-1.132496{col 68}{space 3}-.5265643
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.824859{col 27}{space 2} .9758896{col 38}{space 1}   -3.92{col 47}{space 3}0.000{col 55}{space 4}-5.739657{col 68}{space 3}-1.910061
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3 anti $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(18, 1109)       =  {res}    79.31
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6691
                                                {txt}Root MSE          =    {res} .96345

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} -.157047{col 27}{space 2} .0911216{col 38}{space 1}   -1.72{col 47}{space 3}0.085{col 55}{space 4}-.3358373{col 68}{space 3} .0217432
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .5547247{col 27}{space 2} .1104749{col 38}{space 1}    5.02{col 47}{space 3}0.000{col 55}{space 4} .3379613{col 68}{space 3} .7714881
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1915007{col 27}{space 2} .0362631{col 38}{space 1}    5.28{col 47}{space 3}0.000{col 55}{space 4} .1203487{col 68}{space 3} .2626527
{txt}{space 9}anti {c |}{col 15}{res}{space 2}  .083056{col 27}{space 2} .0129438{col 38}{space 1}    6.42{col 47}{space 3}0.000{col 55}{space 4} .0576589{col 68}{space 3} .1084531
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .1867997{col 27}{space 2} .0263835{col 38}{space 1}    7.08{col 47}{space 3}0.000{col 55}{space 4} .1350325{col 68}{space 3} .2385669
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2} -.050837{col 27}{space 2} .0082814{col 38}{space 1}   -6.14{col 47}{space 3}0.000{col 55}{space 4}-.0670859{col 68}{space 3} -.034588
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0279363{col 27}{space 2} .0150785{col 38}{space 1}    1.85{col 47}{space 3}0.064{col 55}{space 4}-.0016493{col 68}{space 3} .0575219
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.0457652{col 27}{space 2} .0550117{col 38}{space 1}   -0.83{col 47}{space 3}0.406{col 55}{space 4} -.153704{col 68}{space 3} .0621736
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.6830347{col 27}{space 2} .1953761{col 38}{space 1}   -3.50{col 47}{space 3}0.000{col 55}{space 4}-1.066383{col 68}{space 3}-.2996862
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0921138{col 27}{space 2} .0394683{col 38}{space 1}    2.33{col 47}{space 3}0.020{col 55}{space 4} .0146728{col 68}{space 3} .1695547
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0776682{col 27}{space 2} .0739163{col 38}{space 1}   -1.05{col 47}{space 3}0.294{col 55}{space 4}-.2226996{col 68}{space 3} .0673633
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0046249{col 27}{space 2} .0007626{col 38}{space 1}    6.06{col 47}{space 3}0.000{col 55}{space 4} .0031286{col 68}{space 3} .0061212
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.7612388{col 27}{space 2} .1472438{col 38}{space 1}   -5.17{col 47}{space 3}0.000{col 55}{space 4}-1.050147{col 68}{space 3}-.4723309
{txt}{space 11}5  {c |}{col 15}{res}{space 2}   3.3019{col 27}{space 2} .2033427{col 38}{space 1}   16.24{col 47}{space 3}0.000{col 55}{space 4}  2.90292{col 68}{space 3}  3.70088
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.096077{col 27}{space 2} .1330452{col 38}{space 1}   -8.24{col 47}{space 3}0.000{col 55}{space 4}-1.357126{col 68}{space 3}-.8350287
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .2788152{col 27}{space 2} .1062507{col 38}{space 1}    2.62{col 47}{space 3}0.009{col 55}{space 4} .0703401{col 68}{space 3} .4872903
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0466816{col 27}{space 2} .0924129{col 38}{space 1}   -0.51{col 47}{space 3}0.614{col 55}{space 4}-.2280055{col 68}{space 3} .1346423
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0030189{col 27}{space 2} .0958545{col 38}{space 1}   -0.03{col 47}{space 3}0.975{col 55}{space 4}-.1910955{col 68}{space 3} .1850578
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.173531{col 27}{space 2} .6614745{col 38}{space 1}   -3.29{col 47}{space 3}0.001{col 55}{space 4}-3.471413{col 68}{space 3}-.8756481
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_anti_main.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X anti _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X anti _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_anti_main.tex"'})

{com}. eststo clear
{txt}
{com}. 
. 
. 
. //Graphs
. 
. set scheme s1mono
{txt}
{com}. 
. 
. eststo: nbreg f_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102552.85}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56005.741}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-38778.367}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11829.323}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9901.5332}  
Iteration 5:{space 3}log pseudolikelihood = {res:-9859.3081}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9859.1347}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9859.1129}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9859.1089}  
Iteration 9:{space 3}log pseudolikelihood = {res: -9859.108}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 11:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 12:{space 2}log pseudolikelihood = {res:-9859.1077}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2363.3811}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2202.0318}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2087.7952}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2036.5917}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2023.4496}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2023.4413}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2023.4413}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1491.73
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2023.4413{txt}{col 49}Pseudo R2{col 67}= {res}    0.1526

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        f_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2}-.4754445{col 41}{space 2} .4573902{col 52}{space 1}   -1.04{col 61}{space 3}0.299{col 69}{space 4}-1.371913{col 82}{space 3} .4210239
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .3502374{col 41}{space 2} .1102126{col 52}{space 1}    3.18{col 61}{space 3}0.001{col 69}{space 4} .1342246{col 82}{space 3} .5662502
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2} 1.192136{col 41}{space 2} .2880495{col 52}{space 1}    4.14{col 61}{space 3}0.000{col 69}{space 4}  .627569{col 82}{space 3} 1.756702
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2}  .856207{col 41}{space 2} .0758168{col 52}{space 1}   11.29{col 61}{space 3}0.000{col 69}{space 4} .7076087{col 82}{space 3} 1.004805
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0225795{col 41}{space 2} .0226577{col 52}{space 1}   -1.00{col 61}{space 3}0.319{col 69}{space 4}-.0669878{col 82}{space 3} .0218287
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .5067003{col 41}{space 2} .0777617{col 52}{space 1}    6.52{col 61}{space 3}0.000{col 69}{space 4} .3542902{col 82}{space 3} .6591104
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .0604718{col 41}{space 2} .2112028{col 52}{space 1}    0.29{col 61}{space 3}0.775{col 69}{space 4}-.3534781{col 82}{space 3} .4744218
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2}-1.836327{col 41}{space 2} .7633388{col 52}{space 1}   -2.41{col 61}{space 3}0.016{col 69}{space 4}-3.332444{col 82}{space 3} -.340211
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2} .0941021{col 41}{space 2} .1590532{col 52}{space 1}    0.59{col 61}{space 3}0.554{col 69}{space 4}-.2176365{col 82}{space 3} .4058407
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2} .0242868{col 41}{space 2} .1544246{col 52}{space 1}    0.16{col 61}{space 3}0.875{col 69}{space 4}-.2783798{col 82}{space 3} .3269534
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0067268{col 41}{space 2} .0010694{col 52}{space 1}    6.29{col 61}{space 3}0.000{col 69}{space 4} .0046309{col 82}{space 3} .0088227
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-20.19067{col 41}{space 2} .9378548{col 52}{space 1}  -21.53{col 61}{space 3}0.000{col 69}{space 4}-22.02883{col 82}{space 3}-18.35251
{txt}{space 25}5  {c |}{col 29}{res}{space 2} 2.778671{col 41}{space 2} .3389857{col 52}{space 1}    8.20{col 61}{space 3}0.000{col 69}{space 4} 2.114271{col 82}{space 3} 3.443071
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.905865{col 41}{space 2} .4388558{col 52}{space 1}   -4.34{col 61}{space 3}0.000{col 69}{space 4}-2.766007{col 82}{space 3}-1.045723
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .0227282{col 41}{space 2} .1643047{col 52}{space 1}    0.14{col 61}{space 3}0.890{col 69}{space 4} -.299303{col 82}{space 3} .3447595
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.2076093{col 41}{space 2}  .312303{col 52}{space 1}   -0.66{col 61}{space 3}0.506{col 69}{space 4}-.8197119{col 82}{space 3} .4044933
{txt}{space 23}200  {c |}{col 29}{res}{space 2}-1.205593{col 41}{space 2} .3414065{col 52}{space 1}   -3.53{col 61}{space 3}0.000{col 69}{space 4}-1.874738{col 82}{space 3}-.5364485
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-14.37041{col 41}{space 2} 2.509363{col 52}{space 1}   -5.73{col 61}{space 3}0.000{col 69}{space 4}-19.28867{col 82}{space 3}-9.452149
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.299724{col 41}{space 2} .0883786{col 69}{space 4} 1.126505{col 82}{space 3} 1.472942
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 3.668283{col 41}{space 2} .3241976{col 69}{space 4} 3.084855{col 82}{space 3} 4.362051
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=1 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 )
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.717921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.617921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.517921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.417921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.317921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3125964{col 26}{space 2} .2089717{col 37}{space 1}    1.50{col 46}{space 3}0.135{col 54}{space 4}-.0969805{col 67}{space 3} .7221733
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3647274{col 26}{space 2} .2346827{col 37}{space 1}    1.55{col 46}{space 3}0.120{col 54}{space 4}-.0952423{col 67}{space 3}  .824697
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4255521{col 26}{space 2} .2631916{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4} -.090294{col 67}{space 3} .9413982
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4965205{col 26}{space 2} .2947272{col 37}{space 1}    1.68{col 46}{space 3}0.092{col 54}{space 4}-.0811343{col 67}{space 3} 1.074175
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5793241{col 26}{space 2} .3295205{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.0665244{col 67}{space 3} 1.225172
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .6759366{col 26}{space 2} .3678004{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0449389{col 67}{space 3} 1.396812
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .788661{col 26}{space 2} .4097881{col 37}{space 1}    1.92{col 46}{space 3}0.054{col 54}{space 4}-.0145088{col 67}{space 3} 1.591831
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .9201842{col 26}{space 2} .4556913{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0270457{col 67}{space 3} 1.813323
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 1.073641{col 26}{space 2} .5056971{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0824931{col 67}{space 3} 2.064789
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  1.25269{col 26}{space 2} .5599646{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .1551795{col 67}{space 3}   2.3502
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 1.461598{col 26}{space 2}  .618618{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .2491292{col 67}{space 3} 2.674067
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 1.705346{col 26}{space 2} .6817422{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} .3691553{col 67}{space 3} 3.041536
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 1.989742{col 26}{space 2} .7493825{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .5209794{col 67}{space 3} 3.458505
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 2.321567{col 26}{space 2} .8215532{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .7113522{col 67}{space 3} 3.931782
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 2.708729{col 26}{space 2} .8982627{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .9481667{col 67}{space 3} 4.469292
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 3.160458{col 26}{space 2} .9795651{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} 1.240546{col 67}{space 3}  5.08037
{txt}{space 9}17  {c |}{col 14}{res}{space 2}  3.68752{col 26}{space 2} 1.065656{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4} 1.598873{col 67}{space 3} 5.776167
{txt}{space 9}18  {c |}{col 14}{res}{space 2}  4.30248{col 26}{space 2} 1.157037{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} 2.034729{col 67}{space 3}  6.57023
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 5.019994{col 26}{space 2} 1.254789{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} 2.560652{col 67}{space 3} 7.479336
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 5.857167{col 26}{space 2} 1.360999{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} 3.189657{col 67}{space 3} 8.524677
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 6.833954{col 26}{space 2} 1.479397{col 37}{space 1}    4.62{col 46}{space 3}0.000{col 54}{space 4}  3.93439{col 67}{space 3} 9.733518
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 7.973637{col 26}{space 2} 1.616238{col 37}{space 1}    4.93{col 46}{space 3}0.000{col 54}{space 4} 4.805869{col 67}{space 3}  11.1414
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 9.303381{col 26}{space 2} 1.781422{col 37}{space 1}    5.22{col 46}{space 3}0.000{col 54}{space 4} 5.811857{col 67}{space 3}  12.7949
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 10.85488{col 26}{space 2} 1.989691{col 37}{space 1}    5.46{col 46}{space 3}0.000{col 54}{space 4} 6.955163{col 67}{space 3} 14.75461
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 12.66513{col 26}{space 2}   2.2616{col 37}{space 1}    5.60{col 46}{space 3}0.000{col 54}{space 4} 8.232476{col 67}{space 3} 17.09778
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 14.77726{col 26}{space 2} 2.623955{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4} 9.634408{col 67}{space 3} 19.92012
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 17.24164{col 26}{space 2} 3.109619{col 37}{space 1}    5.54{col 46}{space 3}0.000{col 54}{space 4} 11.14689{col 67}{space 3} 23.33638
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xscale(range(-1.5 2)) xtitle("Emergency Powers") ytitle("Predicted Count of Separatist Terrorist Attacks") ti("States of Emergency and Terrorism") xlabel(`=-1.017921' "Min" `=0' "Mean" `=1.641703' "Max") 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: empowerscore3{p_end}
{res}{txt}
{com}. graph save f1.pdf, replace
{res}{txt}(file f1.pdf saved)

{com}. 
. eststo: nbreg f_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102552.85}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56005.741}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-38778.367}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11829.323}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9901.5332}  
Iteration 5:{space 3}log pseudolikelihood = {res:-9859.3081}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9859.1347}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9859.1129}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9859.1089}  
Iteration 9:{space 3}log pseudolikelihood = {res: -9859.108}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 11:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 12:{space 2}log pseudolikelihood = {res:-9859.1077}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2363.3811}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2202.0318}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2087.7952}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2036.5917}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2023.4496}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2023.4413}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2023.4413}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1491.73
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2023.4413{txt}{col 49}Pseudo R2{col 67}= {res}    0.1526

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        f_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2}-.4754445{col 41}{space 2} .4573902{col 52}{space 1}   -1.04{col 61}{space 3}0.299{col 69}{space 4}-1.371913{col 82}{space 3} .4210239
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .3502374{col 41}{space 2} .1102126{col 52}{space 1}    3.18{col 61}{space 3}0.001{col 69}{space 4} .1342246{col 82}{space 3} .5662502
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2} 1.192136{col 41}{space 2} .2880495{col 52}{space 1}    4.14{col 61}{space 3}0.000{col 69}{space 4}  .627569{col 82}{space 3} 1.756702
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2}  .856207{col 41}{space 2} .0758168{col 52}{space 1}   11.29{col 61}{space 3}0.000{col 69}{space 4} .7076087{col 82}{space 3} 1.004805
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0225795{col 41}{space 2} .0226577{col 52}{space 1}   -1.00{col 61}{space 3}0.319{col 69}{space 4}-.0669878{col 82}{space 3} .0218287
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .5067003{col 41}{space 2} .0777617{col 52}{space 1}    6.52{col 61}{space 3}0.000{col 69}{space 4} .3542902{col 82}{space 3} .6591104
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .0604718{col 41}{space 2} .2112028{col 52}{space 1}    0.29{col 61}{space 3}0.775{col 69}{space 4}-.3534781{col 82}{space 3} .4744218
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2}-1.836327{col 41}{space 2} .7633388{col 52}{space 1}   -2.41{col 61}{space 3}0.016{col 69}{space 4}-3.332444{col 82}{space 3} -.340211
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2} .0941021{col 41}{space 2} .1590532{col 52}{space 1}    0.59{col 61}{space 3}0.554{col 69}{space 4}-.2176365{col 82}{space 3} .4058407
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2} .0242868{col 41}{space 2} .1544246{col 52}{space 1}    0.16{col 61}{space 3}0.875{col 69}{space 4}-.2783798{col 82}{space 3} .3269534
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0067268{col 41}{space 2} .0010694{col 52}{space 1}    6.29{col 61}{space 3}0.000{col 69}{space 4} .0046309{col 82}{space 3} .0088227
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-20.19067{col 41}{space 2} .9378548{col 52}{space 1}  -21.53{col 61}{space 3}0.000{col 69}{space 4}-22.02883{col 82}{space 3}-18.35251
{txt}{space 25}5  {c |}{col 29}{res}{space 2} 2.778671{col 41}{space 2} .3389857{col 52}{space 1}    8.20{col 61}{space 3}0.000{col 69}{space 4} 2.114271{col 82}{space 3} 3.443071
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.905865{col 41}{space 2} .4388558{col 52}{space 1}   -4.34{col 61}{space 3}0.000{col 69}{space 4}-2.766007{col 82}{space 3}-1.045723
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .0227282{col 41}{space 2} .1643047{col 52}{space 1}    0.14{col 61}{space 3}0.890{col 69}{space 4} -.299303{col 82}{space 3} .3447595
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.2076093{col 41}{space 2}  .312303{col 52}{space 1}   -0.66{col 61}{space 3}0.506{col 69}{space 4}-.8197119{col 82}{space 3} .4044933
{txt}{space 23}200  {c |}{col 29}{res}{space 2}-1.205593{col 41}{space 2} .3414065{col 52}{space 1}   -3.53{col 61}{space 3}0.000{col 69}{space 4}-1.874738{col 82}{space 3}-.5364485
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-14.37041{col 41}{space 2} 2.509363{col 52}{space 1}   -5.73{col 61}{space 3}0.000{col 69}{space 4}-19.28867{col 82}{space 3}-9.452149
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.299724{col 41}{space 2} .0883786{col 69}{space 4} 1.126505{col 82}{space 3} 1.472942
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 3.668283{col 41}{space 2} .3241976{col 69}{space 4} 3.084855{col 82}{space 3} 4.362051
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=0 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 )
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.717921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.617921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.517921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.417921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.317921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.217921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.117921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.382079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.482079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
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{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.582079}{p_end}
{p2colreset}{...}
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{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
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{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
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{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
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{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.692322{col 26}{space 2} .4977801{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} .7166914{col 67}{space 3} 2.667954
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.752644{col 26}{space 2} .5036336{col 37}{space 1}    3.48{col 46}{space 3}0.001{col 54}{space 4} .7655403{col 67}{space 3} 2.739748
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.815116{col 26}{space 2} .5097599{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .8160049{col 67}{space 3} 2.814227
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.879814{col 26}{space 2} .5162242{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} .8680335{col 67}{space 3} 2.891595
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 1.946819{col 26}{space 2} .5231012{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .9215596{col 67}{space 3} 2.972078
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 2.016212{col 26}{space 2} .5304753{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .9764996{col 67}{space 3} 3.055924
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 2.088078{col 26}{space 2} .5384415{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4} 1.032753{col 67}{space 3} 3.143404
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 2.162507{col 26}{space 2} .5471057{col 37}{space 1}    3.95{col 46}{space 3}0.000{col 54}{space 4} 1.090199{col 67}{space 3} 3.234814
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 2.239588{col 26}{space 2} .5565853{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4}   1.1487{col 67}{space 3} 3.330475
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 2.319416{col 26}{space 2} .5670088{col 37}{space 1}    4.09{col 46}{space 3}0.000{col 54}{space 4} 1.208099{col 67}{space 3} 3.430733
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  2.40209{col 26}{space 2} .5785164{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} 1.268219{col 67}{space 3} 3.535961
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 2.487711{col 26}{space 2}  .591259{col 37}{space 1}    4.21{col 46}{space 3}0.000{col 54}{space 4} 1.328864{col 67}{space 3} 3.646557
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 2.576383{col 26}{space 2} .6053981{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4} 1.389825{col 67}{space 3} 3.762942
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 2.668217{col 26}{space 2} .6211046{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} 1.450874{col 67}{space 3}  3.88556
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 2.763324{col 26}{space 2} .6385578{col 37}{space 1}    4.33{col 46}{space 3}0.000{col 54}{space 4} 1.511773{col 67}{space 3} 4.014874
{txt}{space 9}16  {c |}{col 14}{res}{space 2}  2.86182{col 26}{space 2} .6579439{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4} 1.572274{col 67}{space 3} 4.151367
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 2.963828{col 26}{space 2} .6794549{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} 1.632121{col 67}{space 3} 4.295535
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 3.069471{col 26}{space 2} .7032869{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} 1.691054{col 67}{space 3} 4.447888
{txt}{space 9}19  {c |}{col 14}{res}{space 2}  3.17888{col 26}{space 2} .7296386{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} 1.748815{col 67}{space 3} 4.608946
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 3.292189{col 26}{space 2} .7587103{col 37}{space 1}    4.34{col 46}{space 3}0.000{col 54}{space 4} 1.805145{col 67}{space 3} 4.779234
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 3.409537{col 26}{space 2} .7907024{col 37}{space 1}    4.31{col 46}{space 3}0.000{col 54}{space 4} 1.859789{col 67}{space 3} 4.959285
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 3.531068{col 26}{space 2} .8258155{col 37}{space 1}    4.28{col 46}{space 3}0.000{col 54}{space 4} 1.912499{col 67}{space 3} 5.149636
{txt}{space 9}23  {c |}{col 14}{res}{space 2}  3.65693{col 26}{space 2} .8642489{col 37}{space 1}    4.23{col 46}{space 3}0.000{col 54}{space 4} 1.963033{col 67}{space 3} 5.350827
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 3.787279{col 26}{space 2} .9062017{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} 2.011156{col 67}{space 3} 5.563401
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 3.922274{col 26}{space 2} .9518721{col 37}{space 1}    4.12{col 46}{space 3}0.000{col 54}{space 4} 2.056638{col 67}{space 3} 5.787909
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  4.06208{col 26}{space 2} 1.001459{col 37}{space 1}    4.06{col 46}{space 3}0.000{col 54}{space 4} 2.099258{col 67}{space 3} 6.024903
{txt}{space 9}27  {c |}{col 14}{res}{space 2}  4.20687{col 26}{space 2}  1.05516{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} 2.138794{col 67}{space 3} 6.274946
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xscale(range(-1.5 2)) xtitle("Emergency Powers") ytitle("Predicted Count of Separatist Terrorist Attacks") ti("Emergency Powers and Terrorism") xlabel(`=-1.017921' "Min" `=0' "Mean" `=1.641703' "Max") 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: empowerscore3{p_end}
{res}{txt}
{com}. graph save f2.pdf, replace
{res}{txt}(file f2.pdf saved)

{com}. 
. 
. eststo: nbreg d_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-380621.42}  
Iteration 1:{space 3}log pseudolikelihood = {res:-283062.04}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-107991.78}  
Iteration 3:{space 3}log pseudolikelihood = {res:-60193.704}  
Iteration 4:{space 3}log pseudolikelihood = {res:-32132.221}  
Iteration 5:{space 3}log pseudolikelihood = {res: -29224.07}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29181.899}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29181.866}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29181.866}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3471.1818}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3248.3329}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3103.9689}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3062.8456}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3060.9274}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3060.9248}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3060.9248}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}  15157.97
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3060.9248{txt}{col 49}Pseudo R2{col 67}= {res}    0.1308

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        d_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2} .6597657{col 41}{space 2} .2651058{col 52}{space 1}    2.49{col 61}{space 3}0.013{col 69}{space 4}  .140168{col 82}{space 3} 1.179363
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .2469406{col 41}{space 2} .0905826{col 52}{space 1}    2.73{col 61}{space 3}0.006{col 69}{space 4} .0694019{col 82}{space 3} .4244793
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2}-.6294226{col 41}{space 2} .2334475{col 52}{space 1}   -2.70{col 61}{space 3}0.007{col 69}{space 4}-1.086971{col 82}{space 3}-.1718738
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2} 1.015479{col 41}{space 2} .0659683{col 52}{space 1}   15.39{col 61}{space 3}0.000{col 69}{space 4} .8861839{col 82}{space 3} 1.144775
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0914622{col 41}{space 2} .0191808{col 52}{space 1}   -4.77{col 61}{space 3}0.000{col 69}{space 4} -.129056{col 82}{space 3}-.0538684
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .0248035{col 41}{space 2} .0420725{col 52}{space 1}    0.59{col 61}{space 3}0.555{col 69}{space 4} -.057657{col 82}{space 3}  .107264
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .5164057{col 41}{space 2} .1354915{col 52}{space 1}    3.81{col 61}{space 3}0.000{col 69}{space 4} .2508472{col 82}{space 3} .7819643
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2} .2163275{col 41}{space 2} .5653626{col 52}{space 1}    0.38{col 61}{space 3}0.702{col 69}{space 4}-.8917628{col 82}{space 3} 1.324418
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2}-.0977397{col 41}{space 2}  .087982{col 52}{space 1}   -1.11{col 61}{space 3}0.267{col 69}{space 4}-.2701813{col 82}{space 3} .0747019
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2}-.0379125{col 41}{space 2} .1463882{col 52}{space 1}   -0.26{col 61}{space 3}0.796{col 69}{space 4}-.3248282{col 82}{space 3} .2490031
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0098548{col 41}{space 2} .0014102{col 52}{space 1}    6.99{col 61}{space 3}0.000{col 69}{space 4} .0070908{col 82}{space 3} .0126187
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-25.55003{col 41}{space 2} .4017834{col 52}{space 1}  -63.59{col 61}{space 3}0.000{col 69}{space 4}-26.33751{col 82}{space 3}-24.76255
{txt}{space 25}5  {c |}{col 29}{res}{space 2} .7575335{col 41}{space 2} .3480844{col 52}{space 1}    2.18{col 61}{space 3}0.030{col 69}{space 4} .0753006{col 82}{space 3} 1.439766
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.188515{col 41}{space 2} .2660452{col 52}{space 1}   -4.47{col 61}{space 3}0.000{col 69}{space 4}-1.709954{col 82}{space 3}-.6670762
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .1062718{col 41}{space 2} .1780442{col 52}{space 1}    0.60{col 61}{space 3}0.551{col 69}{space 4}-.2426885{col 82}{space 3} .4552321
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.4599355{col 41}{space 2}  .196109{col 52}{space 1}   -2.35{col 61}{space 3}0.019{col 69}{space 4}-.8443022{col 82}{space 3}-.0755689
{txt}{space 23}200  {c |}{col 29}{res}{space 2} -1.09885{col 41}{space 2} .2516135{col 52}{space 1}   -4.37{col 61}{space 3}0.000{col 69}{space 4}-1.592003{col 82}{space 3}-.6056964
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-13.25302{col 41}{space 2} 1.574816{col 52}{space 1}   -8.42{col 61}{space 3}0.000{col 69}{space 4} -16.3396{col 82}{space 3}-10.16644
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.023076{col 41}{space 2} .0565777{col 69}{space 4} .9121853{col 82}{space 3} 1.133966
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 2.781737{col 41}{space 2} .1573842{col 69}{space 4} 2.489757{col 82}{space 3} 3.107957
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)

{com}. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=1 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 )
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 30.44725{col 26}{space 2} 14.75692{col 37}{space 1}    2.06{col 46}{space 3}0.039{col 54}{space 4} 1.524219{col 67}{space 3} 59.37029
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 29.30469{col 26}{space 2} 13.62192{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4} 2.606218{col 67}{space 3} 56.00316
{txt}{space 10}3  {c |}{col 14}{res}{space 2}   28.205{col 26}{space 2} 12.55537{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} 3.596932{col 67}{space 3} 52.81307
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 27.14658{col 26}{space 2} 11.55412{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} 4.500926{col 67}{space 3} 49.79224
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 26.12788{col 26}{space 2} 10.61522{col 37}{space 1}    2.46{col 46}{space 3}0.014{col 54}{space 4} 5.322434{col 67}{space 3} 46.93333
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 25.14741{col 26}{space 2} 9.735922{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} 6.065351{col 67}{space 3} 44.22946
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 24.20373{col 26}{space 2} 8.913684{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} 6.733227{col 67}{space 3} 41.67423
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 23.29546{col 26}{space 2} 8.146173{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} 7.329254{col 67}{space 3} 39.26166
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 22.42127{col 26}{space 2} 7.431275{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} 7.856241{col 67}{space 3} 36.98631
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 21.57989{col 26}{space 2} 6.767112{col 37}{space 1}    3.19{col 46}{space 3}0.001{col 54}{space 4} 8.316598{col 67}{space 3} 34.84319
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 20.77009{col 26}{space 2} 6.152049{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} 8.712294{col 67}{space 3} 32.82788
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 19.99067{col 26}{space 2} 5.584717{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} 9.044824{col 67}{space 3} 30.93651
{txt}{space 9}13  {c |}{col 14}{res}{space 2}  19.2405{col 26}{space 2} 5.064036{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} 9.315172{col 67}{space 3} 29.16583
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 18.51848{col 26}{space 2} 4.589223{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4} 9.523769{col 67}{space 3} 27.51319
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 17.82356{col 26}{space 2}  4.15981{col 37}{space 1}    4.28{col 46}{space 3}0.000{col 54}{space 4}  9.67048{col 67}{space 3} 25.97664
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 17.15471{col 26}{space 2} 3.775622{col 37}{space 1}    4.54{col 46}{space 3}0.000{col 54}{space 4} 9.754627{col 67}{space 3}  24.5548
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 16.51096{col 26}{space 2} 3.436732{col 37}{space 1}    4.80{col 46}{space 3}0.000{col 54}{space 4} 9.775093{col 67}{space 3} 23.24684
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 15.89137{col 26}{space 2} 3.143337{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} 9.730547{col 67}{space 3}  22.0522
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 15.29503{col 26}{space 2} 2.895555{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} 9.619851{col 67}{space 3} 20.97022
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 14.72107{col 26}{space 2} 2.693121{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} 9.442653{col 67}{space 3} 19.99949
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 14.16865{col 26}{space 2} 2.535018{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} 9.200108{col 67}{space 3} 19.13719
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 13.63696{col 26}{space 2} 2.419134{col 37}{space 1}    5.64{col 46}{space 3}0.000{col 54}{space 4} 8.895543{col 67}{space 3} 18.37837
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 13.12522{col 26}{space 2} 2.342084{col 37}{space 1}    5.60{col 46}{space 3}0.000{col 54}{space 4} 8.534819{col 67}{space 3} 17.71562
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 12.63268{col 26}{space 2} 2.299291{col 37}{space 1}    5.49{col 46}{space 3}0.000{col 54}{space 4} 8.126154{col 67}{space 3} 17.13921
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 12.15863{col 26}{space 2}  2.28535{col 37}{space 1}    5.32{col 46}{space 3}0.000{col 54}{space 4} 7.679425{col 67}{space 3} 16.63783
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 11.70236{col 26}{space 2} 2.294535{col 37}{space 1}    5.10{col 46}{space 3}0.000{col 54}{space 4} 7.205159{col 67}{space 3} 16.19957
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 11.26322{col 26}{space 2} 2.321304{col 37}{space 1}    4.85{col 46}{space 3}0.000{col 54}{space 4}  6.71355{col 67}{space 3} 15.81289
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xscale(range(-1.5 2)) xtitle("Emergency Powers") ytitle("Predicted Count of Political Ideology Ideology Terrorist Attacks") ti("States of Emergency and Terrorism") xlabel(`=-1.017921' "Min" `=0' "Mean" `=1.641703' "Max") 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: empowerscore3{p_end}
{res}{txt}
{com}. graph save d1.pdf, replace
{res}{txt}(file d1.pdf saved)

{com}. 
. eststo: nbreg d_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-380621.42}  
Iteration 1:{space 3}log pseudolikelihood = {res:-283062.04}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-107991.78}  
Iteration 3:{space 3}log pseudolikelihood = {res:-60193.704}  
Iteration 4:{space 3}log pseudolikelihood = {res:-32132.221}  
Iteration 5:{space 3}log pseudolikelihood = {res: -29224.07}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29181.899}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29181.866}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29181.866}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3471.1818}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3248.3329}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3103.9689}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3062.8456}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3060.9274}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3060.9248}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3060.9248}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}  15157.97
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3060.9248{txt}{col 49}Pseudo R2{col 67}= {res}    0.1308

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        d_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2} .6597657{col 41}{space 2} .2651058{col 52}{space 1}    2.49{col 61}{space 3}0.013{col 69}{space 4}  .140168{col 82}{space 3} 1.179363
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .2469406{col 41}{space 2} .0905826{col 52}{space 1}    2.73{col 61}{space 3}0.006{col 69}{space 4} .0694019{col 82}{space 3} .4244793
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2}-.6294226{col 41}{space 2} .2334475{col 52}{space 1}   -2.70{col 61}{space 3}0.007{col 69}{space 4}-1.086971{col 82}{space 3}-.1718738
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2} 1.015479{col 41}{space 2} .0659683{col 52}{space 1}   15.39{col 61}{space 3}0.000{col 69}{space 4} .8861839{col 82}{space 3} 1.144775
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0914622{col 41}{space 2} .0191808{col 52}{space 1}   -4.77{col 61}{space 3}0.000{col 69}{space 4} -.129056{col 82}{space 3}-.0538684
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .0248035{col 41}{space 2} .0420725{col 52}{space 1}    0.59{col 61}{space 3}0.555{col 69}{space 4} -.057657{col 82}{space 3}  .107264
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .5164057{col 41}{space 2} .1354915{col 52}{space 1}    3.81{col 61}{space 3}0.000{col 69}{space 4} .2508472{col 82}{space 3} .7819643
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2} .2163275{col 41}{space 2} .5653626{col 52}{space 1}    0.38{col 61}{space 3}0.702{col 69}{space 4}-.8917628{col 82}{space 3} 1.324418
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2}-.0977397{col 41}{space 2}  .087982{col 52}{space 1}   -1.11{col 61}{space 3}0.267{col 69}{space 4}-.2701813{col 82}{space 3} .0747019
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2}-.0379125{col 41}{space 2} .1463882{col 52}{space 1}   -0.26{col 61}{space 3}0.796{col 69}{space 4}-.3248282{col 82}{space 3} .2490031
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0098548{col 41}{space 2} .0014102{col 52}{space 1}    6.99{col 61}{space 3}0.000{col 69}{space 4} .0070908{col 82}{space 3} .0126187
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-25.55003{col 41}{space 2} .4017834{col 52}{space 1}  -63.59{col 61}{space 3}0.000{col 69}{space 4}-26.33751{col 82}{space 3}-24.76255
{txt}{space 25}5  {c |}{col 29}{res}{space 2} .7575335{col 41}{space 2} .3480844{col 52}{space 1}    2.18{col 61}{space 3}0.030{col 69}{space 4} .0753006{col 82}{space 3} 1.439766
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.188515{col 41}{space 2} .2660452{col 52}{space 1}   -4.47{col 61}{space 3}0.000{col 69}{space 4}-1.709954{col 82}{space 3}-.6670762
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .1062718{col 41}{space 2} .1780442{col 52}{space 1}    0.60{col 61}{space 3}0.551{col 69}{space 4}-.2426885{col 82}{space 3} .4552321
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.4599355{col 41}{space 2}  .196109{col 52}{space 1}   -2.35{col 61}{space 3}0.019{col 69}{space 4}-.8443022{col 82}{space 3}-.0755689
{txt}{space 23}200  {c |}{col 29}{res}{space 2} -1.09885{col 41}{space 2} .2516135{col 52}{space 1}   -4.37{col 61}{space 3}0.000{col 69}{space 4}-1.592003{col 82}{space 3}-.6056964
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-13.25302{col 41}{space 2} 1.574816{col 52}{space 1}   -8.42{col 61}{space 3}0.000{col 69}{space 4} -16.3396{col 82}{space 3}-10.16644
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.023076{col 41}{space 2} .0565777{col 69}{space 4} .9121853{col 82}{space 3} 1.133966
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 2.781737{col 41}{space 2} .1573842{col 69}{space 4} 2.489757{col 82}{space 3} 3.107957
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est4{txt} stored)

{com}. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=0 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 )
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.717921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.617921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
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{txt}{space 10}2  {c |}{col 14}{res}{space 2} 8.501322{col 26}{space 2} 1.610773{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} 5.344264{col 67}{space 3} 11.65838
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 8.713867{col 26}{space 2} 1.600145{col 37}{space 1}    5.45{col 46}{space 3}0.000{col 54}{space 4}  5.57764{col 67}{space 3} 11.85009
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 8.931727{col 26}{space 2} 1.590386{col 37}{space 1}    5.62{col 46}{space 3}0.000{col 54}{space 4} 5.814628{col 67}{space 3} 12.04883
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 9.155033{col 26}{space 2} 1.581843{col 37}{space 1}    5.79{col 46}{space 3}0.000{col 54}{space 4} 6.054679{col 67}{space 3} 12.25539
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 9.383923{col 26}{space 2} 1.574912{col 37}{space 1}    5.96{col 46}{space 3}0.000{col 54}{space 4} 6.297151{col 67}{space 3} 12.47069
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 9.618535{col 26}{space 2}  1.57004{col 37}{space 1}    6.13{col 46}{space 3}0.000{col 54}{space 4} 6.541313{col 67}{space 3} 12.69576
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 9.859013{col 26}{space 2} 1.567719{col 37}{space 1}    6.29{col 46}{space 3}0.000{col 54}{space 4} 6.786339{col 67}{space 3} 12.93169
{txt}{space 10}9  {c |}{col 14}{res}{space 2}  10.1055{col 26}{space 2} 1.568491{col 37}{space 1}    6.44{col 46}{space 3}0.000{col 54}{space 4} 7.031316{col 67}{space 3} 13.17969
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 10.35816{col 26}{space 2} 1.572939{col 37}{space 1}    6.59{col 46}{space 3}0.000{col 54}{space 4} 7.275251{col 67}{space 3} 13.44106
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 10.61712{col 26}{space 2} 1.581682{col 37}{space 1}    6.71{col 46}{space 3}0.000{col 54}{space 4} 7.517084{col 67}{space 3} 13.71716
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 10.88257{col 26}{space 2} 1.595364{col 37}{space 1}    6.82{col 46}{space 3}0.000{col 54}{space 4} 7.755713{col 67}{space 3} 14.00942
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 11.15465{col 26}{space 2} 1.614639{col 37}{space 1}    6.91{col 46}{space 3}0.000{col 54}{space 4} 7.990014{col 67}{space 3} 14.31928
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 11.43353{col 26}{space 2} 1.640161{col 37}{space 1}    6.97{col 46}{space 3}0.000{col 54}{space 4} 8.218875{col 67}{space 3} 14.64819
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 11.71939{col 26}{space 2} 1.672562{col 37}{space 1}    7.01{col 46}{space 3}0.000{col 54}{space 4} 8.441226{col 67}{space 3} 14.99755
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 12.01239{col 26}{space 2}  1.71244{col 37}{space 1}    7.01{col 46}{space 3}0.000{col 54}{space 4} 8.656068{col 67}{space 3} 15.36871
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 12.31272{col 26}{space 2} 1.760346{col 37}{space 1}    6.99{col 46}{space 3}0.000{col 54}{space 4} 8.862502{col 67}{space 3} 15.76293
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 12.62055{col 26}{space 2} 1.816769{col 37}{space 1}    6.95{col 46}{space 3}0.000{col 54}{space 4} 9.059751{col 67}{space 3} 16.18135
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 12.93609{col 26}{space 2} 1.882137{col 37}{space 1}    6.87{col 46}{space 3}0.000{col 54}{space 4} 9.247165{col 67}{space 3} 16.62501
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 13.25951{col 26}{space 2} 1.956809{col 37}{space 1}    6.78{col 46}{space 3}0.000{col 54}{space 4} 9.424232{col 67}{space 3} 17.09478
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 13.59101{col 26}{space 2} 2.041083{col 37}{space 1}    6.66{col 46}{space 3}0.000{col 54}{space 4} 9.590564{col 67}{space 3} 17.59146
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 13.93081{col 26}{space 2} 2.135203{col 37}{space 1}    6.52{col 46}{space 3}0.000{col 54}{space 4} 9.745889{col 67}{space 3} 18.11573
{txt}{space 9}23  {c |}{col 14}{res}{space 2}  14.2791{col 26}{space 2} 2.239362{col 37}{space 1}    6.38{col 46}{space 3}0.000{col 54}{space 4} 9.890032{col 67}{space 3} 18.66817
{txt}{space 9}24  {c |}{col 14}{res}{space 2}  14.6361{col 26}{space 2}  2.35372{col 37}{space 1}    6.22{col 46}{space 3}0.000{col 54}{space 4} 10.02289{col 67}{space 3} 19.24931
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 15.00202{col 26}{space 2} 2.478411{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4} 10.14443{col 67}{space 3} 19.85962
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  15.3771{col 26}{space 2} 2.613552{col 37}{space 1}    5.88{col 46}{space 3}0.000{col 54}{space 4} 10.25463{col 67}{space 3} 20.49956
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 15.76155{col 26}{space 2} 2.759255{col 37}{space 1}    5.71{col 46}{space 3}0.000{col 54}{space 4} 10.35351{col 67}{space 3} 21.16959
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xscale(range(-1.5 2)) xtitle("Emergency Powers") ytitle("Predicted Count of Political Ideology Ideology Terrorist Attacks") ti("Emergency Powers and Terrorism") xlabel(`=-1.017921' "Min" `=0' "Mean" `=1.641703' "Max") 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: empowerscore3{p_end}
{res}{txt}
{com}. graph save d2.pdf, replace
{res}{txt}(file d2.pdf saved)

{com}. 
. //graph combine f1 f2 d1 d2, ycommon
. 
. 
. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(17, 1110)       =  {res}    76.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6464
                                                {txt}Root MSE          =    {res} .99557

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.1918549{col 27}{space 2} .0996668{col 38}{space 1}   -1.92{col 47}{space 3}0.054{col 55}{space 4}-.3874115{col 68}{space 3} .0037017
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .7682146{col 27}{space 2} .1222234{col 38}{space 1}    6.29{col 47}{space 3}0.000{col 55}{space 4} .5283996{col 68}{space 3}  1.00803
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1998463{col 27}{space 2} .0367562{col 38}{space 1}    5.44{col 47}{space 3}0.000{col 55}{space 4} .1277268{col 68}{space 3} .2719658
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}   .20343{col 27}{space 2} .0273003{col 38}{space 1}    7.45{col 47}{space 3}0.000{col 55}{space 4} .1498641{col 68}{space 3}  .256996
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0540665{col 27}{space 2} .0083176{col 38}{space 1}   -6.50{col 47}{space 3}0.000{col 55}{space 4}-.0703865{col 68}{space 3}-.0377465
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0185862{col 27}{space 2} .0159209{col 38}{space 1}    1.17{col 47}{space 3}0.243{col 55}{space 4}-.0126523{col 68}{space 3} .0498247
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.0912979{col 27}{space 2} .0576623{col 38}{space 1}   -1.58{col 47}{space 3}0.114{col 55}{space 4}-.2044373{col 68}{space 3} .0218415
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.7953046{col 27}{space 2} .2075524{col 38}{space 1}   -3.83{col 47}{space 3}0.000{col 55}{space 4}-1.202544{col 68}{space 3}-.3880653
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1014181{col 27}{space 2} .0410414{col 38}{space 1}    2.47{col 47}{space 3}0.014{col 55}{space 4} .0208906{col 68}{space 3} .1819456
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0433988{col 27}{space 2} .0770593{col 38}{space 1}   -0.56{col 47}{space 3}0.573{col 55}{space 4}-.1945973{col 68}{space 3} .1077996
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0052603{col 27}{space 2}  .000793{col 38}{space 1}    6.63{col 47}{space 3}0.000{col 55}{space 4} .0037044{col 68}{space 3} .0068163
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.8070606{col 27}{space 2} .1532897{col 38}{space 1}   -5.26{col 47}{space 3}0.000{col 55}{space 4}-1.107831{col 68}{space 3}-.5062903
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.087826{col 27}{space 2} .2020511{col 38}{space 1}   15.28{col 47}{space 3}0.000{col 55}{space 4} 2.691381{col 68}{space 3} 3.484271
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.150995{col 27}{space 2} .1348806{col 38}{space 1}   -8.53{col 47}{space 3}0.000{col 55}{space 4}-1.415644{col 68}{space 3}-.8863449
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1902325{col 27}{space 2} .1099818{col 38}{space 1}    1.73{col 47}{space 3}0.084{col 55}{space 4}-.0255631{col 68}{space 3} .4060281
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0905273{col 27}{space 2} .0957206{col 38}{space 1}   -0.95{col 47}{space 3}0.344{col 55}{space 4}-.2783411{col 68}{space 3} .0972865
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0557269{col 27}{space 2} .1010527{col 38}{space 1}   -0.55{col 47}{space 3}0.581{col 55}{space 4}-.2540028{col 68}{space 3}  .142549
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.273315{col 27}{space 2} .6796616{col 38}{space 1}   -3.34{col 47}{space 3}0.001{col 55}{space 4}-3.606881{col 68}{space 3}-.9397482
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

{com}. 
. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=1 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) expression(exp(predict(xb)))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:exp(predict(xb))}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.717921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.617921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.517921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.417921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.317921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.217921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.182079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.282079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.382079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.482079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.582079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 6.613959{col 26}{space 2} 1.029978{col 37}{space 1}    6.42{col 46}{space 3}0.000{col 54}{space 4} 4.595239{col 67}{space 3} 8.632679
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 6.747466{col 26}{space 2} 1.040036{col 37}{space 1}    6.49{col 46}{space 3}0.000{col 54}{space 4} 4.709033{col 67}{space 3} 8.785899
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 6.883668{col 26}{space 2} 1.050576{col 37}{space 1}    6.55{col 46}{space 3}0.000{col 54}{space 4} 4.824578{col 67}{space 3} 8.942759
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  7.02262{col 26}{space 2} 1.061638{col 37}{space 1}    6.61{col 46}{space 3}0.000{col 54}{space 4} 4.941848{col 67}{space 3} 9.103391
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 7.164376{col 26}{space 2} 1.073265{col 37}{space 1}    6.68{col 46}{space 3}0.000{col 54}{space 4} 5.060816{col 67}{space 3} 9.267936
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 7.308993{col 26}{space 2} 1.085501{col 37}{space 1}    6.73{col 46}{space 3}0.000{col 54}{space 4}  5.18145{col 67}{space 3} 9.436537
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  7.45653{col 26}{space 2} 1.098395{col 37}{space 1}    6.79{col 46}{space 3}0.000{col 54}{space 4} 5.303716{col 67}{space 3} 9.609344
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 7.607045{col 26}{space 2} 1.111993{col 37}{space 1}    6.84{col 46}{space 3}0.000{col 54}{space 4} 5.427579{col 67}{space 3} 9.786512
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 7.760598{col 26}{space 2} 1.126348{col 37}{space 1}    6.89{col 46}{space 3}0.000{col 54}{space 4} 5.552997{col 67}{space 3}   9.9682
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 7.917251{col 26}{space 2} 1.141511{col 37}{space 1}    6.94{col 46}{space 3}0.000{col 54}{space 4}  5.67993{col 67}{space 3} 10.15457
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 8.077066{col 26}{space 2} 1.157538{col 37}{space 1}    6.98{col 46}{space 3}0.000{col 54}{space 4} 5.808333{col 67}{space 3}  10.3458
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 8.240107{col 26}{space 2} 1.174484{col 37}{space 1}    7.02{col 46}{space 3}0.000{col 54}{space 4}  5.93816{col 67}{space 3} 10.54205
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 8.406439{col 26}{space 2} 1.192408{col 37}{space 1}    7.05{col 46}{space 3}0.000{col 54}{space 4} 6.069362{col 67}{space 3} 10.74352
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 8.576129{col 26}{space 2} 1.211369{col 37}{space 1}    7.08{col 46}{space 3}0.000{col 54}{space 4} 6.201889{col 67}{space 3} 10.95037
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 8.749243{col 26}{space 2} 1.231427{col 37}{space 1}    7.10{col 46}{space 3}0.000{col 54}{space 4} 6.335691{col 67}{space 3}  11.1628
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 8.925853{col 26}{space 2} 1.252645{col 37}{space 1}    7.13{col 46}{space 3}0.000{col 54}{space 4} 6.470713{col 67}{space 3} 11.38099
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 9.106027{col 26}{space 2} 1.275086{col 37}{space 1}    7.14{col 46}{space 3}0.000{col 54}{space 4} 6.606904{col 67}{space 3} 11.60515
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 9.289838{col 26}{space 2} 1.298814{col 37}{space 1}    7.15{col 46}{space 3}0.000{col 54}{space 4} 6.744209{col 67}{space 3} 11.83547
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 9.477359{col 26}{space 2} 1.323894{col 37}{space 1}    7.16{col 46}{space 3}0.000{col 54}{space 4} 6.882574{col 67}{space 3} 12.07214
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 9.668666{col 26}{space 2} 1.350392{col 37}{space 1}    7.16{col 46}{space 3}0.000{col 54}{space 4} 7.021946{col 67}{space 3} 12.31539
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 9.863835{col 26}{space 2} 1.378375{col 37}{space 1}    7.16{col 46}{space 3}0.000{col 54}{space 4}  7.16227{col 67}{space 3}  12.5654
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 10.06294{col 26}{space 2} 1.407908{col 37}{space 1}    7.15{col 46}{space 3}0.000{col 54}{space 4} 7.303494{col 67}{space 3} 12.82239
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 10.26607{col 26}{space 2}  1.43906{col 37}{space 1}    7.13{col 46}{space 3}0.000{col 54}{space 4} 7.445564{col 67}{space 3} 13.08657
{txt}{space 9}24  {c |}{col 14}{res}{space 2}  10.4733{col 26}{space 2} 1.471897{col 37}{space 1}    7.12{col 46}{space 3}0.000{col 54}{space 4} 7.588431{col 67}{space 3} 13.35816
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 10.68471{col 26}{space 2} 1.506489{col 37}{space 1}    7.09{col 46}{space 3}0.000{col 54}{space 4} 7.732044{col 67}{space 3} 13.63737
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 10.90039{col 26}{space 2} 1.542901{col 37}{space 1}    7.06{col 46}{space 3}0.000{col 54}{space 4} 7.876355{col 67}{space 3} 13.92442
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 11.12042{col 26}{space 2} 1.581203{col 37}{space 1}    7.03{col 46}{space 3}0.000{col 54}{space 4} 8.021315{col 67}{space 3} 14.21952
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: empowerscore3{p_end}
{res}{txt}
{com}. 
. margins, at(empowerscore3=(.0007257 .9677334) declaredsoe=1 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) expression(exp(predict(xb)))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:exp(predict(xb))}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}.0007257}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}.9677334}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 8.107221{col 26}{space 2} 1.160626{col 37}{space 1}    6.99{col 46}{space 3}0.000{col 54}{space 4} 5.832435{col 67}{space 3} 10.38201
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 9.835596{col 26}{space 2} 1.374267{col 37}{space 1}    7.16{col 46}{space 3}0.000{col 54}{space 4} 7.142083{col 67}{space 3} 12.52911
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(17, 1110)       =  {res}    76.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6464
                                                {txt}Root MSE          =    {res} .99557

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.1918549{col 27}{space 2} .0996668{col 38}{space 1}   -1.92{col 47}{space 3}0.054{col 55}{space 4}-.3874115{col 68}{space 3} .0037017
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .7682146{col 27}{space 2} .1222234{col 38}{space 1}    6.29{col 47}{space 3}0.000{col 55}{space 4} .5283996{col 68}{space 3}  1.00803
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1998463{col 27}{space 2} .0367562{col 38}{space 1}    5.44{col 47}{space 3}0.000{col 55}{space 4} .1277268{col 68}{space 3} .2719658
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}   .20343{col 27}{space 2} .0273003{col 38}{space 1}    7.45{col 47}{space 3}0.000{col 55}{space 4} .1498641{col 68}{space 3}  .256996
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0540665{col 27}{space 2} .0083176{col 38}{space 1}   -6.50{col 47}{space 3}0.000{col 55}{space 4}-.0703865{col 68}{space 3}-.0377465
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0185862{col 27}{space 2} .0159209{col 38}{space 1}    1.17{col 47}{space 3}0.243{col 55}{space 4}-.0126523{col 68}{space 3} .0498247
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.0912979{col 27}{space 2} .0576623{col 38}{space 1}   -1.58{col 47}{space 3}0.114{col 55}{space 4}-.2044373{col 68}{space 3} .0218415
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.7953046{col 27}{space 2} .2075524{col 38}{space 1}   -3.83{col 47}{space 3}0.000{col 55}{space 4}-1.202544{col 68}{space 3}-.3880653
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1014181{col 27}{space 2} .0410414{col 38}{space 1}    2.47{col 47}{space 3}0.014{col 55}{space 4} .0208906{col 68}{space 3} .1819456
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0433988{col 27}{space 2} .0770593{col 38}{space 1}   -0.56{col 47}{space 3}0.573{col 55}{space 4}-.1945973{col 68}{space 3} .1077996
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0052603{col 27}{space 2}  .000793{col 38}{space 1}    6.63{col 47}{space 3}0.000{col 55}{space 4} .0037044{col 68}{space 3} .0068163
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.8070606{col 27}{space 2} .1532897{col 38}{space 1}   -5.26{col 47}{space 3}0.000{col 55}{space 4}-1.107831{col 68}{space 3}-.5062903
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.087826{col 27}{space 2} .2020511{col 38}{space 1}   15.28{col 47}{space 3}0.000{col 55}{space 4} 2.691381{col 68}{space 3} 3.484271
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.150995{col 27}{space 2} .1348806{col 38}{space 1}   -8.53{col 47}{space 3}0.000{col 55}{space 4}-1.415644{col 68}{space 3}-.8863449
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1902325{col 27}{space 2} .1099818{col 38}{space 1}    1.73{col 47}{space 3}0.084{col 55}{space 4}-.0255631{col 68}{space 3} .4060281
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0905273{col 27}{space 2} .0957206{col 38}{space 1}   -0.95{col 47}{space 3}0.344{col 55}{space 4}-.2783411{col 68}{space 3} .0972865
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0557269{col 27}{space 2} .1010527{col 38}{space 1}   -0.55{col 47}{space 3}0.581{col 55}{space 4}-.2540028{col 68}{space 3}  .142549
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.273315{col 27}{space 2} .6796616{col 38}{space 1}   -3.34{col 47}{space 3}0.001{col 55}{space 4}-3.606881{col 68}{space 3}-.9397482
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

{com}. 
. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=1 ) expression(exp(predict(xb)))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:exp(predict(xb))}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.717921}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.617921}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.517921}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.417921}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.317921}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.217921}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.117921}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.017921}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 4}.082079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 4}.182079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 4}.282079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 4}.382079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 4}.482079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 4}.582079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 4}.682079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 4}.782079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 4}.882079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 4}.982079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.082079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.182079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.282079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.382079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.482079}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.582079}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 11.26007{col 26}{space 2} 2.933886{col 37}{space 1}    3.84{col 46}{space 3}0.000{col 54}{space 4} 5.509757{col 67}{space 3} 17.01038
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 11.48736{col 26}{space 2} 2.979874{col 37}{space 1}    3.85{col 46}{space 3}0.000{col 54}{space 4} 5.646913{col 67}{space 3} 17.32781
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 11.71924{col 26}{space 2} 3.027077{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} 5.786278{col 67}{space 3}  17.6522
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  11.9558{col 26}{space 2} 3.075542{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} 5.927848{col 67}{space 3} 17.98375
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 12.19714{col 26}{space 2} 3.125321{col 37}{space 1}    3.90{col 46}{space 3}0.000{col 54}{space 4}  6.07162{col 67}{space 3} 18.32265
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 12.44334{col 26}{space 2} 3.176464{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} 6.217587{col 67}{space 3}  18.6691
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 12.69452{col 26}{space 2} 3.229028{col 37}{space 1}    3.93{col 46}{space 3}0.000{col 54}{space 4} 6.365742{col 67}{space 3}  19.0233
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 12.95077{col 26}{space 2} 3.283067{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4} 6.516074{col 67}{space 3} 19.38546
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 13.21219{col 26}{space 2}  3.33864{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4} 6.668573{col 67}{space 3}  19.7558
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 13.47888{col 26}{space 2} 3.395806{col 37}{space 1}    3.97{col 46}{space 3}0.000{col 54}{space 4} 6.823225{col 67}{space 3} 20.13454
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 13.75096{col 26}{space 2} 3.454628{col 37}{space 1}    3.98{col 46}{space 3}0.000{col 54}{space 4} 6.980016{col 67}{space 3} 20.52191
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 14.02854{col 26}{space 2}  3.51517{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} 7.138929{col 67}{space 3} 20.91814
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 14.31171{col 26}{space 2} 3.577497{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} 7.299946{col 67}{space 3} 21.32348
{txt}{space 9}14  {c |}{col 14}{res}{space 2}  14.6006{col 26}{space 2} 3.641678{col 37}{space 1}    4.01{col 46}{space 3}0.000{col 54}{space 4} 7.463045{col 67}{space 3} 21.73816
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 14.89533{col 26}{space 2} 3.707782{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} 7.628205{col 67}{space 3} 22.16245
{txt}{space 9}16  {c |}{col 14}{res}{space 2}   15.196{col 26}{space 2} 3.775883{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} 7.795402{col 67}{space 3} 22.59659
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 15.50274{col 26}{space 2} 3.846054{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} 7.964611{col 67}{space 3} 23.04087
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 15.81567{col 26}{space 2} 3.918373{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4} 8.135802{col 67}{space 3} 23.49554
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 16.13492{col 26}{space 2} 3.992917{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4} 8.308948{col 67}{space 3} 23.96089
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 16.46062{col 26}{space 2} 4.069768{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4} 8.484016{col 67}{space 3} 24.43721
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 16.79288{col 26}{space 2}  4.14901{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} 8.660972{col 67}{space 3} 24.92479
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 17.13186{col 26}{space 2} 4.230729{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} 8.839783{col 67}{space 3} 25.42393
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 17.47768{col 26}{space 2} 4.315011{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} 9.020411{col 67}{space 3} 25.93494
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 17.83048{col 26}{space 2} 4.401947{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} 9.202817{col 67}{space 3} 26.45813
{txt}{space 9}25  {c |}{col 14}{res}{space 2}  18.1904{col 26}{space 2} 4.491631{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} 9.386961{col 67}{space 3} 26.99383
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 18.55758{col 26}{space 2} 4.584156{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4}   9.5728{col 67}{space 3} 27.54236
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 18.93218{col 26}{space 2} 4.679621{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} 9.760289{col 67}{space 3} 28.10407
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: empowerscore3{p_end}
{res}{txt}
{com}. 
. margins, at(empowerscore3=(.0007257 .9677334) declaredsoe=1 ) expression(exp(predict(xb)))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:exp(predict(xb))}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}.0007257}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}.9677334}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  13.8023{col 26}{space 2} 3.465785{col 37}{space 1}    3.98{col 46}{space 3}0.000{col 54}{space 4} 7.009488{col 67}{space 3} 20.59512
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 16.74481{col 26}{space 2} 4.137493{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} 8.635472{col 67}{space 3} 24.85415
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: empowerscore3{p_end}
{res}{txt}
{com}. 
. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=1 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) 
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.717921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.617921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.517921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.417921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.482079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.582079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4556749{col 26}{space 2} .0913062{col 37}{space 1}    4.99{col 46}{space 3}0.000{col 54}{space 4} .2765226{col 67}{space 3} .6348272
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4756595{col 26}{space 2} .0900573{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} .2989578{col 67}{space 3} .6523612
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4956442{col 26}{space 2} .0889428{col 37}{space 1}    5.57{col 46}{space 3}0.000{col 54}{space 4} .3211292{col 67}{space 3} .6701591
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5156288{col 26}{space 2} .0879679{col 37}{space 1}    5.86{col 46}{space 3}0.000{col 54}{space 4} .3430267{col 67}{space 3} .6882308
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5356134{col 26}{space 2} .0871372{col 37}{space 1}    6.15{col 46}{space 3}0.000{col 54}{space 4} .3646412{col 67}{space 3} .7065856
{txt}{space 10}6  {c |}{col 14}{res}{space 2}  .555598{col 26}{space 2} .0864549{col 37}{space 1}    6.43{col 46}{space 3}0.000{col 54}{space 4} .3859645{col 67}{space 3} .7252316
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .5755827{col 26}{space 2} .0859246{col 37}{space 1}    6.70{col 46}{space 3}0.000{col 54}{space 4} .4069896{col 67}{space 3} .7441757
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .5955673{col 26}{space 2} .0855491{col 37}{space 1}    6.96{col 46}{space 3}0.000{col 54}{space 4} .4277111{col 67}{space 3} .7634235
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .6155519{col 26}{space 2} .0853304{col 37}{space 1}    7.21{col 46}{space 3}0.000{col 54}{space 4} .4481248{col 67}{space 3}  .782979
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .6355366{col 26}{space 2} .0852697{col 37}{space 1}    7.45{col 46}{space 3}0.000{col 54}{space 4} .4682285{col 67}{space 3} .8028446
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .6555212{col 26}{space 2} .0853674{col 37}{space 1}    7.68{col 46}{space 3}0.000{col 54}{space 4} .4880215{col 67}{space 3} .8230209
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .6755058{col 26}{space 2} .0856229{col 37}{space 1}    7.89{col 46}{space 3}0.000{col 54}{space 4} .5075048{col 67}{space 3} .8435068
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .6954904{col 26}{space 2} .0860348{col 37}{space 1}    8.08{col 46}{space 3}0.000{col 54}{space 4} .5266812{col 67}{space 3} .8642997
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .7154751{col 26}{space 2} .0866009{col 37}{space 1}    8.26{col 46}{space 3}0.000{col 54}{space 4} .5455551{col 67}{space 3} .8853951
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .7354597{col 26}{space 2} .0873182{col 37}{space 1}    8.42{col 46}{space 3}0.000{col 54}{space 4} .5641323{col 67}{space 3} .9067871
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .7554443{col 26}{space 2}  .088183{col 37}{space 1}    8.57{col 46}{space 3}0.000{col 54}{space 4} .5824201{col 67}{space 3} .9284685
{txt}{space 9}17  {c |}{col 14}{res}{space 2}  .775429{col 26}{space 2}  .089191{col 37}{space 1}    8.69{col 46}{space 3}0.000{col 54}{space 4}  .600427{col 67}{space 3} .9504309
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .7954136{col 26}{space 2} .0903374{col 37}{space 1}    8.80{col 46}{space 3}0.000{col 54}{space 4} .6181623{col 67}{space 3} .9726649
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .8153982{col 26}{space 2}  .091617{col 37}{space 1}    8.90{col 46}{space 3}0.000{col 54}{space 4} .6356361{col 67}{space 3} .9951603
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .8353828{col 26}{space 2} .0930244{col 37}{space 1}    8.98{col 46}{space 3}0.000{col 54}{space 4} .6528594{col 67}{space 3} 1.017906
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .8553675{col 26}{space 2} .0945537{col 37}{space 1}    9.05{col 46}{space 3}0.000{col 54}{space 4} .6698433{col 67}{space 3} 1.040892
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .8753521{col 26}{space 2} .0961993{col 37}{space 1}    9.10{col 46}{space 3}0.000{col 54}{space 4} .6865992{col 67}{space 3} 1.064105
{txt}{space 9}23  {c |}{col 14}{res}{space 2} .8953367{col 26}{space 2} .0979551{col 37}{space 1}    9.14{col 46}{space 3}0.000{col 54}{space 4} .7031386{col 67}{space 3} 1.087535
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .9153213{col 26}{space 2} .0998155{col 37}{space 1}    9.17{col 46}{space 3}0.000{col 54}{space 4} .7194729{col 67}{space 3}  1.11117
{txt}{space 9}25  {c |}{col 14}{res}{space 2}  .935306{col 26}{space 2} .1017747{col 37}{space 1}    9.19{col 46}{space 3}0.000{col 54}{space 4} .7356134{col 67}{space 3} 1.134999
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .9552906{col 26}{space 2} .1038271{col 37}{space 1}    9.20{col 46}{space 3}0.000{col 54}{space 4} .7515711{col 67}{space 3}  1.15901
{txt}{space 9}27  {c |}{col 14}{res}{space 2} .9752752{col 26}{space 2} .1059673{col 37}{space 1}    9.20{col 46}{space 3}0.000{col 54}{space 4} .7673565{col 67}{space 3} 1.183194
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xscale(range(-1.5 2)) xtitle("Emergency Powers") ytitle("Predicted Count of Political Ideology Ideology Terrorist Attacks") ti("Emergency Powers and Terrorism") xlabel(`=-1.017921' "Min" `=0' "Mean" `=1.641703' "Max") 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: empowerscore3{p_end}
{res}{txt}
{com}. 
. 
. eststo: nbreg f_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102552.85}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56005.741}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-38778.367}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11829.323}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9901.5332}  
Iteration 5:{space 3}log pseudolikelihood = {res:-9859.3081}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9859.1347}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9859.1129}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9859.1089}  
Iteration 9:{space 3}log pseudolikelihood = {res: -9859.108}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 11:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 12:{space 2}log pseudolikelihood = {res:-9859.1077}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2363.3811}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2202.0318}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2087.7952}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2036.5917}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2023.4496}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2023.4413}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2023.4413}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1491.73
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2023.4413{txt}{col 49}Pseudo R2{col 67}= {res}    0.1526

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        f_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2}-.4754445{col 41}{space 2} .4573902{col 52}{space 1}   -1.04{col 61}{space 3}0.299{col 69}{space 4}-1.371913{col 82}{space 3} .4210239
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .3502374{col 41}{space 2} .1102126{col 52}{space 1}    3.18{col 61}{space 3}0.001{col 69}{space 4} .1342246{col 82}{space 3} .5662502
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2} 1.192136{col 41}{space 2} .2880495{col 52}{space 1}    4.14{col 61}{space 3}0.000{col 69}{space 4}  .627569{col 82}{space 3} 1.756702
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2}  .856207{col 41}{space 2} .0758168{col 52}{space 1}   11.29{col 61}{space 3}0.000{col 69}{space 4} .7076087{col 82}{space 3} 1.004805
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0225795{col 41}{space 2} .0226577{col 52}{space 1}   -1.00{col 61}{space 3}0.319{col 69}{space 4}-.0669878{col 82}{space 3} .0218287
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .5067003{col 41}{space 2} .0777617{col 52}{space 1}    6.52{col 61}{space 3}0.000{col 69}{space 4} .3542902{col 82}{space 3} .6591104
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .0604718{col 41}{space 2} .2112028{col 52}{space 1}    0.29{col 61}{space 3}0.775{col 69}{space 4}-.3534781{col 82}{space 3} .4744218
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2}-1.836327{col 41}{space 2} .7633388{col 52}{space 1}   -2.41{col 61}{space 3}0.016{col 69}{space 4}-3.332444{col 82}{space 3} -.340211
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2} .0941021{col 41}{space 2} .1590532{col 52}{space 1}    0.59{col 61}{space 3}0.554{col 69}{space 4}-.2176365{col 82}{space 3} .4058407
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2} .0242868{col 41}{space 2} .1544246{col 52}{space 1}    0.16{col 61}{space 3}0.875{col 69}{space 4}-.2783798{col 82}{space 3} .3269534
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0067268{col 41}{space 2} .0010694{col 52}{space 1}    6.29{col 61}{space 3}0.000{col 69}{space 4} .0046309{col 82}{space 3} .0088227
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-20.19067{col 41}{space 2} .9378548{col 52}{space 1}  -21.53{col 61}{space 3}0.000{col 69}{space 4}-22.02883{col 82}{space 3}-18.35251
{txt}{space 25}5  {c |}{col 29}{res}{space 2} 2.778671{col 41}{space 2} .3389857{col 52}{space 1}    8.20{col 61}{space 3}0.000{col 69}{space 4} 2.114271{col 82}{space 3} 3.443071
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.905865{col 41}{space 2} .4388558{col 52}{space 1}   -4.34{col 61}{space 3}0.000{col 69}{space 4}-2.766007{col 82}{space 3}-1.045723
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .0227282{col 41}{space 2} .1643047{col 52}{space 1}    0.14{col 61}{space 3}0.890{col 69}{space 4} -.299303{col 82}{space 3} .3447595
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.2076093{col 41}{space 2}  .312303{col 52}{space 1}   -0.66{col 61}{space 3}0.506{col 69}{space 4}-.8197119{col 82}{space 3} .4044933
{txt}{space 23}200  {c |}{col 29}{res}{space 2}-1.205593{col 41}{space 2} .3414065{col 52}{space 1}   -3.53{col 61}{space 3}0.000{col 69}{space 4}-1.874738{col 82}{space 3}-.5364485
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-14.37041{col 41}{space 2} 2.509363{col 52}{space 1}   -5.73{col 61}{space 3}0.000{col 69}{space 4}-19.28867{col 82}{space 3}-9.452149
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.299724{col 41}{space 2} .0883786{col 69}{space 4} 1.126505{col 82}{space 3} 1.472942
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 3.668283{col 41}{space 2} .3241976{col 69}{space 4} 3.084855{col 82}{space 3} 4.362051
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est7{txt} stored)

{com}. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=1 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) saving(file1, replace)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3125964{col 26}{space 2} .2089717{col 37}{space 1}    1.50{col 46}{space 3}0.135{col 54}{space 4}-.0969805{col 67}{space 3} .7221733
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3647274{col 26}{space 2} .2346827{col 37}{space 1}    1.55{col 46}{space 3}0.120{col 54}{space 4}-.0952423{col 67}{space 3}  .824697
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4255521{col 26}{space 2} .2631916{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4} -.090294{col 67}{space 3} .9413982
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4965205{col 26}{space 2} .2947272{col 37}{space 1}    1.68{col 46}{space 3}0.092{col 54}{space 4}-.0811343{col 67}{space 3} 1.074175
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5793241{col 26}{space 2} .3295205{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.0665244{col 67}{space 3} 1.225172
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .6759366{col 26}{space 2} .3678004{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0449389{col 67}{space 3} 1.396812
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .788661{col 26}{space 2} .4097881{col 37}{space 1}    1.92{col 46}{space 3}0.054{col 54}{space 4}-.0145088{col 67}{space 3} 1.591831
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .9201842{col 26}{space 2} .4556913{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0270457{col 67}{space 3} 1.813323
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 1.073641{col 26}{space 2} .5056971{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0824931{col 67}{space 3} 2.064789
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  1.25269{col 26}{space 2} .5599646{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .1551795{col 67}{space 3}   2.3502
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 1.461598{col 26}{space 2}  .618618{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .2491292{col 67}{space 3} 2.674067
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 1.705346{col 26}{space 2} .6817422{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} .3691553{col 67}{space 3} 3.041536
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 1.989742{col 26}{space 2} .7493825{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .5209794{col 67}{space 3} 3.458505
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 2.321567{col 26}{space 2} .8215532{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .7113522{col 67}{space 3} 3.931782
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 2.708729{col 26}{space 2} .8982627{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .9481667{col 67}{space 3} 4.469292
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 3.160458{col 26}{space 2} .9795651{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} 1.240546{col 67}{space 3}  5.08037
{txt}{space 9}17  {c |}{col 14}{res}{space 2}  3.68752{col 26}{space 2} 1.065656{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4} 1.598873{col 67}{space 3} 5.776167
{txt}{space 9}18  {c |}{col 14}{res}{space 2}  4.30248{col 26}{space 2} 1.157037{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} 2.034729{col 67}{space 3}  6.57023
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 5.019994{col 26}{space 2} 1.254789{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} 2.560652{col 67}{space 3} 7.479336
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 5.857167{col 26}{space 2} 1.360999{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} 3.189657{col 67}{space 3} 8.524677
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 6.833954{col 26}{space 2} 1.479397{col 37}{space 1}    4.62{col 46}{space 3}0.000{col 54}{space 4}  3.93439{col 67}{space 3} 9.733518
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 7.973637{col 26}{space 2} 1.616238{col 37}{space 1}    4.93{col 46}{space 3}0.000{col 54}{space 4} 4.805869{col 67}{space 3}  11.1414
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 9.303381{col 26}{space 2} 1.781422{col 37}{space 1}    5.22{col 46}{space 3}0.000{col 54}{space 4} 5.811857{col 67}{space 3}  12.7949
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 10.85488{col 26}{space 2} 1.989691{col 37}{space 1}    5.46{col 46}{space 3}0.000{col 54}{space 4} 6.955163{col 67}{space 3} 14.75461
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 12.66513{col 26}{space 2}   2.2616{col 37}{space 1}    5.60{col 46}{space 3}0.000{col 54}{space 4} 8.232476{col 67}{space 3} 17.09778
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 14.77726{col 26}{space 2} 2.623955{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4} 9.634408{col 67}{space 3} 19.92012
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 17.24164{col 26}{space 2} 3.109619{col 37}{space 1}    5.54{col 46}{space 3}0.000{col 54}{space 4} 11.14689{col 67}{space 3} 23.33638
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo: nbreg f_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102552.85}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56005.741}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-38778.367}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11829.323}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9901.5332}  
Iteration 5:{space 3}log pseudolikelihood = {res:-9859.3081}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9859.1347}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9859.1129}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9859.1089}  
Iteration 9:{space 3}log pseudolikelihood = {res: -9859.108}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 11:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 12:{space 2}log pseudolikelihood = {res:-9859.1077}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2363.3811}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2202.0318}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2087.7952}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2036.5917}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2023.4496}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2023.4413}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2023.4413}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1491.73
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2023.4413{txt}{col 49}Pseudo R2{col 67}= {res}    0.1526

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        f_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2}-.4754445{col 41}{space 2} .4573902{col 52}{space 1}   -1.04{col 61}{space 3}0.299{col 69}{space 4}-1.371913{col 82}{space 3} .4210239
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .3502374{col 41}{space 2} .1102126{col 52}{space 1}    3.18{col 61}{space 3}0.001{col 69}{space 4} .1342246{col 82}{space 3} .5662502
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2} 1.192136{col 41}{space 2} .2880495{col 52}{space 1}    4.14{col 61}{space 3}0.000{col 69}{space 4}  .627569{col 82}{space 3} 1.756702
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2}  .856207{col 41}{space 2} .0758168{col 52}{space 1}   11.29{col 61}{space 3}0.000{col 69}{space 4} .7076087{col 82}{space 3} 1.004805
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0225795{col 41}{space 2} .0226577{col 52}{space 1}   -1.00{col 61}{space 3}0.319{col 69}{space 4}-.0669878{col 82}{space 3} .0218287
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .5067003{col 41}{space 2} .0777617{col 52}{space 1}    6.52{col 61}{space 3}0.000{col 69}{space 4} .3542902{col 82}{space 3} .6591104
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .0604718{col 41}{space 2} .2112028{col 52}{space 1}    0.29{col 61}{space 3}0.775{col 69}{space 4}-.3534781{col 82}{space 3} .4744218
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2}-1.836327{col 41}{space 2} .7633388{col 52}{space 1}   -2.41{col 61}{space 3}0.016{col 69}{space 4}-3.332444{col 82}{space 3} -.340211
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2} .0941021{col 41}{space 2} .1590532{col 52}{space 1}    0.59{col 61}{space 3}0.554{col 69}{space 4}-.2176365{col 82}{space 3} .4058407
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2} .0242868{col 41}{space 2} .1544246{col 52}{space 1}    0.16{col 61}{space 3}0.875{col 69}{space 4}-.2783798{col 82}{space 3} .3269534
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0067268{col 41}{space 2} .0010694{col 52}{space 1}    6.29{col 61}{space 3}0.000{col 69}{space 4} .0046309{col 82}{space 3} .0088227
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-20.19067{col 41}{space 2} .9378548{col 52}{space 1}  -21.53{col 61}{space 3}0.000{col 69}{space 4}-22.02883{col 82}{space 3}-18.35251
{txt}{space 25}5  {c |}{col 29}{res}{space 2} 2.778671{col 41}{space 2} .3389857{col 52}{space 1}    8.20{col 61}{space 3}0.000{col 69}{space 4} 2.114271{col 82}{space 3} 3.443071
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.905865{col 41}{space 2} .4388558{col 52}{space 1}   -4.34{col 61}{space 3}0.000{col 69}{space 4}-2.766007{col 82}{space 3}-1.045723
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .0227282{col 41}{space 2} .1643047{col 52}{space 1}    0.14{col 61}{space 3}0.890{col 69}{space 4} -.299303{col 82}{space 3} .3447595
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.2076093{col 41}{space 2}  .312303{col 52}{space 1}   -0.66{col 61}{space 3}0.506{col 69}{space 4}-.8197119{col 82}{space 3} .4044933
{txt}{space 23}200  {c |}{col 29}{res}{space 2}-1.205593{col 41}{space 2} .3414065{col 52}{space 1}   -3.53{col 61}{space 3}0.000{col 69}{space 4}-1.874738{col 82}{space 3}-.5364485
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-14.37041{col 41}{space 2} 2.509363{col 52}{space 1}   -5.73{col 61}{space 3}0.000{col 69}{space 4}-19.28867{col 82}{space 3}-9.452149
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.299724{col 41}{space 2} .0883786{col 69}{space 4} 1.126505{col 82}{space 3} 1.472942
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 3.668283{col 41}{space 2} .3241976{col 69}{space 4} 3.084855{col 82}{space 3} 4.362051
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est8{txt} stored)

{com}. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=0 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) saving(file2, replace)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.717921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.617921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.692322{col 26}{space 2} .4977801{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} .7166914{col 67}{space 3} 2.667954
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.752644{col 26}{space 2} .5036336{col 37}{space 1}    3.48{col 46}{space 3}0.001{col 54}{space 4} .7655403{col 67}{space 3} 2.739748
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.815116{col 26}{space 2} .5097599{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .8160049{col 67}{space 3} 2.814227
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.879814{col 26}{space 2} .5162242{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} .8680335{col 67}{space 3} 2.891595
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 1.946819{col 26}{space 2} .5231012{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .9215596{col 67}{space 3} 2.972078
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 2.016212{col 26}{space 2} .5304753{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .9764996{col 67}{space 3} 3.055924
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 2.088078{col 26}{space 2} .5384415{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4} 1.032753{col 67}{space 3} 3.143404
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 2.162507{col 26}{space 2} .5471057{col 37}{space 1}    3.95{col 46}{space 3}0.000{col 54}{space 4} 1.090199{col 67}{space 3} 3.234814
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 2.239588{col 26}{space 2} .5565853{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4}   1.1487{col 67}{space 3} 3.330475
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 2.319416{col 26}{space 2} .5670088{col 37}{space 1}    4.09{col 46}{space 3}0.000{col 54}{space 4} 1.208099{col 67}{space 3} 3.430733
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  2.40209{col 26}{space 2} .5785164{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} 1.268219{col 67}{space 3} 3.535961
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 2.487711{col 26}{space 2}  .591259{col 37}{space 1}    4.21{col 46}{space 3}0.000{col 54}{space 4} 1.328864{col 67}{space 3} 3.646557
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 2.576383{col 26}{space 2} .6053981{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4} 1.389825{col 67}{space 3} 3.762942
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 2.668217{col 26}{space 2} .6211046{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} 1.450874{col 67}{space 3}  3.88556
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 2.763324{col 26}{space 2} .6385578{col 37}{space 1}    4.33{col 46}{space 3}0.000{col 54}{space 4} 1.511773{col 67}{space 3} 4.014874
{txt}{space 9}16  {c |}{col 14}{res}{space 2}  2.86182{col 26}{space 2} .6579439{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4} 1.572274{col 67}{space 3} 4.151367
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 2.963828{col 26}{space 2} .6794549{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} 1.632121{col 67}{space 3} 4.295535
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 3.069471{col 26}{space 2} .7032869{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} 1.691054{col 67}{space 3} 4.447888
{txt}{space 9}19  {c |}{col 14}{res}{space 2}  3.17888{col 26}{space 2} .7296386{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} 1.748815{col 67}{space 3} 4.608946
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 3.292189{col 26}{space 2} .7587103{col 37}{space 1}    4.34{col 46}{space 3}0.000{col 54}{space 4} 1.805145{col 67}{space 3} 4.779234
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 3.409537{col 26}{space 2} .7907024{col 37}{space 1}    4.31{col 46}{space 3}0.000{col 54}{space 4} 1.859789{col 67}{space 3} 4.959285
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 3.531068{col 26}{space 2} .8258155{col 37}{space 1}    4.28{col 46}{space 3}0.000{col 54}{space 4} 1.912499{col 67}{space 3} 5.149636
{txt}{space 9}23  {c |}{col 14}{res}{space 2}  3.65693{col 26}{space 2} .8642489{col 37}{space 1}    4.23{col 46}{space 3}0.000{col 54}{space 4} 1.963033{col 67}{space 3} 5.350827
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 3.787279{col 26}{space 2} .9062017{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} 2.011156{col 67}{space 3} 5.563401
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 3.922274{col 26}{space 2} .9518721{col 37}{space 1}    4.12{col 46}{space 3}0.000{col 54}{space 4} 2.056638{col 67}{space 3} 5.787909
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  4.06208{col 26}{space 2} 1.001459{col 37}{space 1}    4.06{col 46}{space 3}0.000{col 54}{space 4} 2.099258{col 67}{space 3} 6.024903
{txt}{space 9}27  {c |}{col 14}{res}{space 2}  4.20687{col 26}{space 2}  1.05516{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} 2.138794{col 67}{space 3} 6.274946
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo: nbreg d_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-380621.42}  
Iteration 1:{space 3}log pseudolikelihood = {res:-283062.04}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-107991.78}  
Iteration 3:{space 3}log pseudolikelihood = {res:-60193.704}  
Iteration 4:{space 3}log pseudolikelihood = {res:-32132.221}  
Iteration 5:{space 3}log pseudolikelihood = {res: -29224.07}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29181.899}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29181.866}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29181.866}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3471.1818}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3248.3329}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3103.9689}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3062.8456}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3060.9274}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3060.9248}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3060.9248}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}  15157.97
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3060.9248{txt}{col 49}Pseudo R2{col 67}= {res}    0.1308

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        d_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2} .6597657{col 41}{space 2} .2651058{col 52}{space 1}    2.49{col 61}{space 3}0.013{col 69}{space 4}  .140168{col 82}{space 3} 1.179363
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .2469406{col 41}{space 2} .0905826{col 52}{space 1}    2.73{col 61}{space 3}0.006{col 69}{space 4} .0694019{col 82}{space 3} .4244793
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2}-.6294226{col 41}{space 2} .2334475{col 52}{space 1}   -2.70{col 61}{space 3}0.007{col 69}{space 4}-1.086971{col 82}{space 3}-.1718738
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2} 1.015479{col 41}{space 2} .0659683{col 52}{space 1}   15.39{col 61}{space 3}0.000{col 69}{space 4} .8861839{col 82}{space 3} 1.144775
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0914622{col 41}{space 2} .0191808{col 52}{space 1}   -4.77{col 61}{space 3}0.000{col 69}{space 4} -.129056{col 82}{space 3}-.0538684
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .0248035{col 41}{space 2} .0420725{col 52}{space 1}    0.59{col 61}{space 3}0.555{col 69}{space 4} -.057657{col 82}{space 3}  .107264
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .5164057{col 41}{space 2} .1354915{col 52}{space 1}    3.81{col 61}{space 3}0.000{col 69}{space 4} .2508472{col 82}{space 3} .7819643
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2} .2163275{col 41}{space 2} .5653626{col 52}{space 1}    0.38{col 61}{space 3}0.702{col 69}{space 4}-.8917628{col 82}{space 3} 1.324418
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2}-.0977397{col 41}{space 2}  .087982{col 52}{space 1}   -1.11{col 61}{space 3}0.267{col 69}{space 4}-.2701813{col 82}{space 3} .0747019
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2}-.0379125{col 41}{space 2} .1463882{col 52}{space 1}   -0.26{col 61}{space 3}0.796{col 69}{space 4}-.3248282{col 82}{space 3} .2490031
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0098548{col 41}{space 2} .0014102{col 52}{space 1}    6.99{col 61}{space 3}0.000{col 69}{space 4} .0070908{col 82}{space 3} .0126187
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-25.55003{col 41}{space 2} .4017834{col 52}{space 1}  -63.59{col 61}{space 3}0.000{col 69}{space 4}-26.33751{col 82}{space 3}-24.76255
{txt}{space 25}5  {c |}{col 29}{res}{space 2} .7575335{col 41}{space 2} .3480844{col 52}{space 1}    2.18{col 61}{space 3}0.030{col 69}{space 4} .0753006{col 82}{space 3} 1.439766
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.188515{col 41}{space 2} .2660452{col 52}{space 1}   -4.47{col 61}{space 3}0.000{col 69}{space 4}-1.709954{col 82}{space 3}-.6670762
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .1062718{col 41}{space 2} .1780442{col 52}{space 1}    0.60{col 61}{space 3}0.551{col 69}{space 4}-.2426885{col 82}{space 3} .4552321
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.4599355{col 41}{space 2}  .196109{col 52}{space 1}   -2.35{col 61}{space 3}0.019{col 69}{space 4}-.8443022{col 82}{space 3}-.0755689
{txt}{space 23}200  {c |}{col 29}{res}{space 2} -1.09885{col 41}{space 2} .2516135{col 52}{space 1}   -4.37{col 61}{space 3}0.000{col 69}{space 4}-1.592003{col 82}{space 3}-.6056964
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-13.25302{col 41}{space 2} 1.574816{col 52}{space 1}   -8.42{col 61}{space 3}0.000{col 69}{space 4} -16.3396{col 82}{space 3}-10.16644
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.023076{col 41}{space 2} .0565777{col 69}{space 4} .9121853{col 82}{space 3} 1.133966
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 2.781737{col 41}{space 2} .1573842{col 69}{space 4} 2.489757{col 82}{space 3} 3.107957
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est9{txt} stored)

{com}. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=1 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) saving(file3, replace)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.717921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.617921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.517921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.417921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.317921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.217921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.182079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.282079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.382079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 30.44725{col 26}{space 2} 14.75692{col 37}{space 1}    2.06{col 46}{space 3}0.039{col 54}{space 4} 1.524219{col 67}{space 3} 59.37029
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 29.30469{col 26}{space 2} 13.62192{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4} 2.606218{col 67}{space 3} 56.00316
{txt}{space 10}3  {c |}{col 14}{res}{space 2}   28.205{col 26}{space 2} 12.55537{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} 3.596932{col 67}{space 3} 52.81307
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 27.14658{col 26}{space 2} 11.55412{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} 4.500926{col 67}{space 3} 49.79224
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 26.12788{col 26}{space 2} 10.61522{col 37}{space 1}    2.46{col 46}{space 3}0.014{col 54}{space 4} 5.322434{col 67}{space 3} 46.93333
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 25.14741{col 26}{space 2} 9.735922{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} 6.065351{col 67}{space 3} 44.22946
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 24.20373{col 26}{space 2} 8.913684{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} 6.733227{col 67}{space 3} 41.67423
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 23.29546{col 26}{space 2} 8.146173{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} 7.329254{col 67}{space 3} 39.26166
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 22.42127{col 26}{space 2} 7.431275{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} 7.856241{col 67}{space 3} 36.98631
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 21.57989{col 26}{space 2} 6.767112{col 37}{space 1}    3.19{col 46}{space 3}0.001{col 54}{space 4} 8.316598{col 67}{space 3} 34.84319
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 20.77009{col 26}{space 2} 6.152049{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} 8.712294{col 67}{space 3} 32.82788
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 19.99067{col 26}{space 2} 5.584717{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} 9.044824{col 67}{space 3} 30.93651
{txt}{space 9}13  {c |}{col 14}{res}{space 2}  19.2405{col 26}{space 2} 5.064036{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} 9.315172{col 67}{space 3} 29.16583
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 18.51848{col 26}{space 2} 4.589223{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4} 9.523769{col 67}{space 3} 27.51319
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 17.82356{col 26}{space 2}  4.15981{col 37}{space 1}    4.28{col 46}{space 3}0.000{col 54}{space 4}  9.67048{col 67}{space 3} 25.97664
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 17.15471{col 26}{space 2} 3.775622{col 37}{space 1}    4.54{col 46}{space 3}0.000{col 54}{space 4} 9.754627{col 67}{space 3}  24.5548
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 16.51096{col 26}{space 2} 3.436732{col 37}{space 1}    4.80{col 46}{space 3}0.000{col 54}{space 4} 9.775093{col 67}{space 3} 23.24684
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 15.89137{col 26}{space 2} 3.143337{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} 9.730547{col 67}{space 3}  22.0522
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 15.29503{col 26}{space 2} 2.895555{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} 9.619851{col 67}{space 3} 20.97022
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 14.72107{col 26}{space 2} 2.693121{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} 9.442653{col 67}{space 3} 19.99949
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 14.16865{col 26}{space 2} 2.535018{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} 9.200108{col 67}{space 3} 19.13719
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 13.63696{col 26}{space 2} 2.419134{col 37}{space 1}    5.64{col 46}{space 3}0.000{col 54}{space 4} 8.895543{col 67}{space 3} 18.37837
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 13.12522{col 26}{space 2} 2.342084{col 37}{space 1}    5.60{col 46}{space 3}0.000{col 54}{space 4} 8.534819{col 67}{space 3} 17.71562
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 12.63268{col 26}{space 2} 2.299291{col 37}{space 1}    5.49{col 46}{space 3}0.000{col 54}{space 4} 8.126154{col 67}{space 3} 17.13921
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 12.15863{col 26}{space 2}  2.28535{col 37}{space 1}    5.32{col 46}{space 3}0.000{col 54}{space 4} 7.679425{col 67}{space 3} 16.63783
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 11.70236{col 26}{space 2} 2.294535{col 37}{space 1}    5.10{col 46}{space 3}0.000{col 54}{space 4} 7.205159{col 67}{space 3} 16.19957
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 11.26322{col 26}{space 2} 2.321304{col 37}{space 1}    4.85{col 46}{space 3}0.000{col 54}{space 4}  6.71355{col 67}{space 3} 15.81289
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo: nbreg d_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-380621.42}  
Iteration 1:{space 3}log pseudolikelihood = {res:-283062.04}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-107991.78}  
Iteration 3:{space 3}log pseudolikelihood = {res:-60193.704}  
Iteration 4:{space 3}log pseudolikelihood = {res:-32132.221}  
Iteration 5:{space 3}log pseudolikelihood = {res: -29224.07}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29181.899}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29181.866}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29181.866}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3471.1818}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3248.3329}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3103.9689}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3062.8456}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3060.9274}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3060.9248}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3060.9248}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}  15157.97
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3060.9248{txt}{col 49}Pseudo R2{col 67}= {res}    0.1308

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        d_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2} .6597657{col 41}{space 2} .2651058{col 52}{space 1}    2.49{col 61}{space 3}0.013{col 69}{space 4}  .140168{col 82}{space 3} 1.179363
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .2469406{col 41}{space 2} .0905826{col 52}{space 1}    2.73{col 61}{space 3}0.006{col 69}{space 4} .0694019{col 82}{space 3} .4244793
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2}-.6294226{col 41}{space 2} .2334475{col 52}{space 1}   -2.70{col 61}{space 3}0.007{col 69}{space 4}-1.086971{col 82}{space 3}-.1718738
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2} 1.015479{col 41}{space 2} .0659683{col 52}{space 1}   15.39{col 61}{space 3}0.000{col 69}{space 4} .8861839{col 82}{space 3} 1.144775
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0914622{col 41}{space 2} .0191808{col 52}{space 1}   -4.77{col 61}{space 3}0.000{col 69}{space 4} -.129056{col 82}{space 3}-.0538684
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .0248035{col 41}{space 2} .0420725{col 52}{space 1}    0.59{col 61}{space 3}0.555{col 69}{space 4} -.057657{col 82}{space 3}  .107264
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .5164057{col 41}{space 2} .1354915{col 52}{space 1}    3.81{col 61}{space 3}0.000{col 69}{space 4} .2508472{col 82}{space 3} .7819643
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2} .2163275{col 41}{space 2} .5653626{col 52}{space 1}    0.38{col 61}{space 3}0.702{col 69}{space 4}-.8917628{col 82}{space 3} 1.324418
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2}-.0977397{col 41}{space 2}  .087982{col 52}{space 1}   -1.11{col 61}{space 3}0.267{col 69}{space 4}-.2701813{col 82}{space 3} .0747019
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2}-.0379125{col 41}{space 2} .1463882{col 52}{space 1}   -0.26{col 61}{space 3}0.796{col 69}{space 4}-.3248282{col 82}{space 3} .2490031
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0098548{col 41}{space 2} .0014102{col 52}{space 1}    6.99{col 61}{space 3}0.000{col 69}{space 4} .0070908{col 82}{space 3} .0126187
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-25.55003{col 41}{space 2} .4017834{col 52}{space 1}  -63.59{col 61}{space 3}0.000{col 69}{space 4}-26.33751{col 82}{space 3}-24.76255
{txt}{space 25}5  {c |}{col 29}{res}{space 2} .7575335{col 41}{space 2} .3480844{col 52}{space 1}    2.18{col 61}{space 3}0.030{col 69}{space 4} .0753006{col 82}{space 3} 1.439766
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.188515{col 41}{space 2} .2660452{col 52}{space 1}   -4.47{col 61}{space 3}0.000{col 69}{space 4}-1.709954{col 82}{space 3}-.6670762
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .1062718{col 41}{space 2} .1780442{col 52}{space 1}    0.60{col 61}{space 3}0.551{col 69}{space 4}-.2426885{col 82}{space 3} .4552321
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.4599355{col 41}{space 2}  .196109{col 52}{space 1}   -2.35{col 61}{space 3}0.019{col 69}{space 4}-.8443022{col 82}{space 3}-.0755689
{txt}{space 23}200  {c |}{col 29}{res}{space 2} -1.09885{col 41}{space 2} .2516135{col 52}{space 1}   -4.37{col 61}{space 3}0.000{col 69}{space 4}-1.592003{col 82}{space 3}-.6056964
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-13.25302{col 41}{space 2} 1.574816{col 52}{space 1}   -8.42{col 61}{space 3}0.000{col 69}{space 4} -16.3396{col 82}{space 3}-10.16644
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.023076{col 41}{space 2} .0565777{col 69}{space 4} .9121853{col 82}{space 3} 1.133966
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 2.781737{col 41}{space 2} .1573842{col 69}{space 4} 2.489757{col 82}{space 3} 3.107957
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est10{txt} stored)

{com}. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=0 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) saving(file4, replace)
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.717921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.617921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.517921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.417921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.317921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.217921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.117921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 4}.082079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.482079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.582079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  8.29396{col 26}{space 2} 1.621965{col 37}{space 1}    5.11{col 46}{space 3}0.000{col 54}{space 4} 5.114968{col 67}{space 3} 11.47295
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 8.501322{col 26}{space 2} 1.610773{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} 5.344264{col 67}{space 3} 11.65838
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 8.713867{col 26}{space 2} 1.600145{col 37}{space 1}    5.45{col 46}{space 3}0.000{col 54}{space 4}  5.57764{col 67}{space 3} 11.85009
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 8.931727{col 26}{space 2} 1.590386{col 37}{space 1}    5.62{col 46}{space 3}0.000{col 54}{space 4} 5.814628{col 67}{space 3} 12.04883
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 9.155033{col 26}{space 2} 1.581843{col 37}{space 1}    5.79{col 46}{space 3}0.000{col 54}{space 4} 6.054679{col 67}{space 3} 12.25539
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 9.383923{col 26}{space 2} 1.574912{col 37}{space 1}    5.96{col 46}{space 3}0.000{col 54}{space 4} 6.297151{col 67}{space 3} 12.47069
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 9.618535{col 26}{space 2}  1.57004{col 37}{space 1}    6.13{col 46}{space 3}0.000{col 54}{space 4} 6.541313{col 67}{space 3} 12.69576
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 9.859013{col 26}{space 2} 1.567719{col 37}{space 1}    6.29{col 46}{space 3}0.000{col 54}{space 4} 6.786339{col 67}{space 3} 12.93169
{txt}{space 10}9  {c |}{col 14}{res}{space 2}  10.1055{col 26}{space 2} 1.568491{col 37}{space 1}    6.44{col 46}{space 3}0.000{col 54}{space 4} 7.031316{col 67}{space 3} 13.17969
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 10.35816{col 26}{space 2} 1.572939{col 37}{space 1}    6.59{col 46}{space 3}0.000{col 54}{space 4} 7.275251{col 67}{space 3} 13.44106
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 10.61712{col 26}{space 2} 1.581682{col 37}{space 1}    6.71{col 46}{space 3}0.000{col 54}{space 4} 7.517084{col 67}{space 3} 13.71716
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 10.88257{col 26}{space 2} 1.595364{col 37}{space 1}    6.82{col 46}{space 3}0.000{col 54}{space 4} 7.755713{col 67}{space 3} 14.00942
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 11.15465{col 26}{space 2} 1.614639{col 37}{space 1}    6.91{col 46}{space 3}0.000{col 54}{space 4} 7.990014{col 67}{space 3} 14.31928
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 11.43353{col 26}{space 2} 1.640161{col 37}{space 1}    6.97{col 46}{space 3}0.000{col 54}{space 4} 8.218875{col 67}{space 3} 14.64819
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 11.71939{col 26}{space 2} 1.672562{col 37}{space 1}    7.01{col 46}{space 3}0.000{col 54}{space 4} 8.441226{col 67}{space 3} 14.99755
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 12.01239{col 26}{space 2}  1.71244{col 37}{space 1}    7.01{col 46}{space 3}0.000{col 54}{space 4} 8.656068{col 67}{space 3} 15.36871
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 12.31272{col 26}{space 2} 1.760346{col 37}{space 1}    6.99{col 46}{space 3}0.000{col 54}{space 4} 8.862502{col 67}{space 3} 15.76293
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 12.62055{col 26}{space 2} 1.816769{col 37}{space 1}    6.95{col 46}{space 3}0.000{col 54}{space 4} 9.059751{col 67}{space 3} 16.18135
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 12.93609{col 26}{space 2} 1.882137{col 37}{space 1}    6.87{col 46}{space 3}0.000{col 54}{space 4} 9.247165{col 67}{space 3} 16.62501
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 13.25951{col 26}{space 2} 1.956809{col 37}{space 1}    6.78{col 46}{space 3}0.000{col 54}{space 4} 9.424232{col 67}{space 3} 17.09478
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 13.59101{col 26}{space 2} 2.041083{col 37}{space 1}    6.66{col 46}{space 3}0.000{col 54}{space 4} 9.590564{col 67}{space 3} 17.59146
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 13.93081{col 26}{space 2} 2.135203{col 37}{space 1}    6.52{col 46}{space 3}0.000{col 54}{space 4} 9.745889{col 67}{space 3} 18.11573
{txt}{space 9}23  {c |}{col 14}{res}{space 2}  14.2791{col 26}{space 2} 2.239362{col 37}{space 1}    6.38{col 46}{space 3}0.000{col 54}{space 4} 9.890032{col 67}{space 3} 18.66817
{txt}{space 9}24  {c |}{col 14}{res}{space 2}  14.6361{col 26}{space 2}  2.35372{col 37}{space 1}    6.22{col 46}{space 3}0.000{col 54}{space 4} 10.02289{col 67}{space 3} 19.24931
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 15.00202{col 26}{space 2} 2.478411{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4} 10.14443{col 67}{space 3} 19.85962
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  15.3771{col 26}{space 2} 2.613552{col 37}{space 1}    5.88{col 46}{space 3}0.000{col 54}{space 4} 10.25463{col 67}{space 3} 20.49956
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 15.76155{col 26}{space 2} 2.759255{col 37}{space 1}    5.71{col 46}{space 3}0.000{col 54}{space 4} 10.35351{col 67}{space 3} 21.16959
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. //combomarginsplot file1 file2 
. //combomarginsplot file3 file4
. 
. //combomarginsplot file1 file3
. //combomarginsplot file2 file4
. 
. //Margins
. 
. 
. eststo: nbreg f_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102552.85}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56005.741}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-38778.367}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11829.323}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9901.5332}  
Iteration 5:{space 3}log pseudolikelihood = {res:-9859.3081}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9859.1347}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9859.1129}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9859.1089}  
Iteration 9:{space 3}log pseudolikelihood = {res: -9859.108}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 11:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 12:{space 2}log pseudolikelihood = {res:-9859.1077}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2363.3811}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2202.0318}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2087.7952}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2036.5917}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2023.4496}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2023.4413}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2023.4413}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1491.73
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2023.4413{txt}{col 49}Pseudo R2{col 67}= {res}    0.1526

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        f_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2}-.4754445{col 41}{space 2} .4573902{col 52}{space 1}   -1.04{col 61}{space 3}0.299{col 69}{space 4}-1.371913{col 82}{space 3} .4210239
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .3502374{col 41}{space 2} .1102126{col 52}{space 1}    3.18{col 61}{space 3}0.001{col 69}{space 4} .1342246{col 82}{space 3} .5662502
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2} 1.192136{col 41}{space 2} .2880495{col 52}{space 1}    4.14{col 61}{space 3}0.000{col 69}{space 4}  .627569{col 82}{space 3} 1.756702
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2}  .856207{col 41}{space 2} .0758168{col 52}{space 1}   11.29{col 61}{space 3}0.000{col 69}{space 4} .7076087{col 82}{space 3} 1.004805
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0225795{col 41}{space 2} .0226577{col 52}{space 1}   -1.00{col 61}{space 3}0.319{col 69}{space 4}-.0669878{col 82}{space 3} .0218287
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .5067003{col 41}{space 2} .0777617{col 52}{space 1}    6.52{col 61}{space 3}0.000{col 69}{space 4} .3542902{col 82}{space 3} .6591104
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .0604718{col 41}{space 2} .2112028{col 52}{space 1}    0.29{col 61}{space 3}0.775{col 69}{space 4}-.3534781{col 82}{space 3} .4744218
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2}-1.836327{col 41}{space 2} .7633388{col 52}{space 1}   -2.41{col 61}{space 3}0.016{col 69}{space 4}-3.332444{col 82}{space 3} -.340211
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2} .0941021{col 41}{space 2} .1590532{col 52}{space 1}    0.59{col 61}{space 3}0.554{col 69}{space 4}-.2176365{col 82}{space 3} .4058407
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2} .0242868{col 41}{space 2} .1544246{col 52}{space 1}    0.16{col 61}{space 3}0.875{col 69}{space 4}-.2783798{col 82}{space 3} .3269534
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0067268{col 41}{space 2} .0010694{col 52}{space 1}    6.29{col 61}{space 3}0.000{col 69}{space 4} .0046309{col 82}{space 3} .0088227
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-20.19067{col 41}{space 2} .9378548{col 52}{space 1}  -21.53{col 61}{space 3}0.000{col 69}{space 4}-22.02883{col 82}{space 3}-18.35251
{txt}{space 25}5  {c |}{col 29}{res}{space 2} 2.778671{col 41}{space 2} .3389857{col 52}{space 1}    8.20{col 61}{space 3}0.000{col 69}{space 4} 2.114271{col 82}{space 3} 3.443071
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.905865{col 41}{space 2} .4388558{col 52}{space 1}   -4.34{col 61}{space 3}0.000{col 69}{space 4}-2.766007{col 82}{space 3}-1.045723
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .0227282{col 41}{space 2} .1643047{col 52}{space 1}    0.14{col 61}{space 3}0.890{col 69}{space 4} -.299303{col 82}{space 3} .3447595
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.2076093{col 41}{space 2}  .312303{col 52}{space 1}   -0.66{col 61}{space 3}0.506{col 69}{space 4}-.8197119{col 82}{space 3} .4044933
{txt}{space 23}200  {c |}{col 29}{res}{space 2}-1.205593{col 41}{space 2} .3414065{col 52}{space 1}   -3.53{col 61}{space 3}0.000{col 69}{space 4}-1.874738{col 82}{space 3}-.5364485
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-14.37041{col 41}{space 2} 2.509363{col 52}{space 1}   -5.73{col 61}{space 3}0.000{col 69}{space 4}-19.28867{col 82}{space 3}-9.452149
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.299724{col 41}{space 2} .0883786{col 69}{space 4} 1.126505{col 82}{space 3} 1.472942
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 3.668283{col 41}{space 2} .3241976{col 69}{space 4} 3.084855{col 82}{space 3} 4.362051
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est11{txt} stored)

{com}. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=1 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
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{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3647274{col 26}{space 2} .2346827{col 37}{space 1}    1.55{col 46}{space 3}0.120{col 54}{space 4}-.0952423{col 67}{space 3}  .824697
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4255521{col 26}{space 2} .2631916{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4} -.090294{col 67}{space 3} .9413982
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4965205{col 26}{space 2} .2947272{col 37}{space 1}    1.68{col 46}{space 3}0.092{col 54}{space 4}-.0811343{col 67}{space 3} 1.074175
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5793241{col 26}{space 2} .3295205{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.0665244{col 67}{space 3} 1.225172
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .6759366{col 26}{space 2} .3678004{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0449389{col 67}{space 3} 1.396812
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .788661{col 26}{space 2} .4097881{col 37}{space 1}    1.92{col 46}{space 3}0.054{col 54}{space 4}-.0145088{col 67}{space 3} 1.591831
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .9201842{col 26}{space 2} .4556913{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0270457{col 67}{space 3} 1.813323
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 1.073641{col 26}{space 2} .5056971{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0824931{col 67}{space 3} 2.064789
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  1.25269{col 26}{space 2} .5599646{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .1551795{col 67}{space 3}   2.3502
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 1.461598{col 26}{space 2}  .618618{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .2491292{col 67}{space 3} 2.674067
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 1.705346{col 26}{space 2} .6817422{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} .3691553{col 67}{space 3} 3.041536
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 1.989742{col 26}{space 2} .7493825{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .5209794{col 67}{space 3} 3.458505
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 2.321567{col 26}{space 2} .8215532{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .7113522{col 67}{space 3} 3.931782
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 2.708729{col 26}{space 2} .8982627{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .9481667{col 67}{space 3} 4.469292
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 3.160458{col 26}{space 2} .9795651{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} 1.240546{col 67}{space 3}  5.08037
{txt}{space 9}17  {c |}{col 14}{res}{space 2}  3.68752{col 26}{space 2} 1.065656{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4} 1.598873{col 67}{space 3} 5.776167
{txt}{space 9}18  {c |}{col 14}{res}{space 2}  4.30248{col 26}{space 2} 1.157037{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} 2.034729{col 67}{space 3}  6.57023
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 5.019994{col 26}{space 2} 1.254789{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} 2.560652{col 67}{space 3} 7.479336
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 5.857167{col 26}{space 2} 1.360999{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} 3.189657{col 67}{space 3} 8.524677
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 6.833954{col 26}{space 2} 1.479397{col 37}{space 1}    4.62{col 46}{space 3}0.000{col 54}{space 4}  3.93439{col 67}{space 3} 9.733518
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 7.973637{col 26}{space 2} 1.616238{col 37}{space 1}    4.93{col 46}{space 3}0.000{col 54}{space 4} 4.805869{col 67}{space 3}  11.1414
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 9.303381{col 26}{space 2} 1.781422{col 37}{space 1}    5.22{col 46}{space 3}0.000{col 54}{space 4} 5.811857{col 67}{space 3}  12.7949
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 10.85488{col 26}{space 2} 1.989691{col 37}{space 1}    5.46{col 46}{space 3}0.000{col 54}{space 4} 6.955163{col 67}{space 3} 14.75461
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 12.66513{col 26}{space 2}   2.2616{col 37}{space 1}    5.60{col 46}{space 3}0.000{col 54}{space 4} 8.232476{col 67}{space 3} 17.09778
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 14.77726{col 26}{space 2} 2.623955{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4} 9.634408{col 67}{space 3} 19.92012
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 17.24164{col 26}{space 2} 3.109619{col 37}{space 1}    5.54{col 46}{space 3}0.000{col 54}{space 4} 11.14689{col 67}{space 3} 23.33638
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[1._at] = _b[27._at]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1bn._at - 27._at = 0{p_end}

{txt}{col 12}chi2(  1) ={res}   29.86
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. 
. eststo: nbreg f_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102552.85}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56005.741}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-38778.367}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11829.323}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9901.5332}  
Iteration 5:{space 3}log pseudolikelihood = {res:-9859.3081}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9859.1347}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9859.1129}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9859.1089}  
Iteration 9:{space 3}log pseudolikelihood = {res: -9859.108}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 11:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 12:{space 2}log pseudolikelihood = {res:-9859.1077}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2363.3811}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2202.0318}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2087.7952}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2036.5917}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2023.4496}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2023.4413}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2023.4413}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1491.73
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2023.4413{txt}{col 49}Pseudo R2{col 67}= {res}    0.1526

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        f_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2}-.4754445{col 41}{space 2} .4573902{col 52}{space 1}   -1.04{col 61}{space 3}0.299{col 69}{space 4}-1.371913{col 82}{space 3} .4210239
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .3502374{col 41}{space 2} .1102126{col 52}{space 1}    3.18{col 61}{space 3}0.001{col 69}{space 4} .1342246{col 82}{space 3} .5662502
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2} 1.192136{col 41}{space 2} .2880495{col 52}{space 1}    4.14{col 61}{space 3}0.000{col 69}{space 4}  .627569{col 82}{space 3} 1.756702
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2}  .856207{col 41}{space 2} .0758168{col 52}{space 1}   11.29{col 61}{space 3}0.000{col 69}{space 4} .7076087{col 82}{space 3} 1.004805
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0225795{col 41}{space 2} .0226577{col 52}{space 1}   -1.00{col 61}{space 3}0.319{col 69}{space 4}-.0669878{col 82}{space 3} .0218287
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .5067003{col 41}{space 2} .0777617{col 52}{space 1}    6.52{col 61}{space 3}0.000{col 69}{space 4} .3542902{col 82}{space 3} .6591104
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .0604718{col 41}{space 2} .2112028{col 52}{space 1}    0.29{col 61}{space 3}0.775{col 69}{space 4}-.3534781{col 82}{space 3} .4744218
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2}-1.836327{col 41}{space 2} .7633388{col 52}{space 1}   -2.41{col 61}{space 3}0.016{col 69}{space 4}-3.332444{col 82}{space 3} -.340211
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2} .0941021{col 41}{space 2} .1590532{col 52}{space 1}    0.59{col 61}{space 3}0.554{col 69}{space 4}-.2176365{col 82}{space 3} .4058407
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2} .0242868{col 41}{space 2} .1544246{col 52}{space 1}    0.16{col 61}{space 3}0.875{col 69}{space 4}-.2783798{col 82}{space 3} .3269534
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0067268{col 41}{space 2} .0010694{col 52}{space 1}    6.29{col 61}{space 3}0.000{col 69}{space 4} .0046309{col 82}{space 3} .0088227
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-20.19067{col 41}{space 2} .9378548{col 52}{space 1}  -21.53{col 61}{space 3}0.000{col 69}{space 4}-22.02883{col 82}{space 3}-18.35251
{txt}{space 25}5  {c |}{col 29}{res}{space 2} 2.778671{col 41}{space 2} .3389857{col 52}{space 1}    8.20{col 61}{space 3}0.000{col 69}{space 4} 2.114271{col 82}{space 3} 3.443071
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.905865{col 41}{space 2} .4388558{col 52}{space 1}   -4.34{col 61}{space 3}0.000{col 69}{space 4}-2.766007{col 82}{space 3}-1.045723
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .0227282{col 41}{space 2} .1643047{col 52}{space 1}    0.14{col 61}{space 3}0.890{col 69}{space 4} -.299303{col 82}{space 3} .3447595
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.2076093{col 41}{space 2}  .312303{col 52}{space 1}   -0.66{col 61}{space 3}0.506{col 69}{space 4}-.8197119{col 82}{space 3} .4044933
{txt}{space 23}200  {c |}{col 29}{res}{space 2}-1.205593{col 41}{space 2} .3414065{col 52}{space 1}   -3.53{col 61}{space 3}0.000{col 69}{space 4}-1.874738{col 82}{space 3}-.5364485
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-14.37041{col 41}{space 2} 2.509363{col 52}{space 1}   -5.73{col 61}{space 3}0.000{col 69}{space 4}-19.28867{col 82}{space 3}-9.452149
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.299724{col 41}{space 2} .0883786{col 69}{space 4} 1.126505{col 82}{space 3} 1.472942
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 3.668283{col 41}{space 2} .3241976{col 69}{space 4} 3.084855{col 82}{space 3} 4.362051
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est12{txt} stored)

{com}. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=0 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.717921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.617921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.517921}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 4}.982079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.692322{col 26}{space 2} .4977801{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} .7166914{col 67}{space 3} 2.667954
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.752644{col 26}{space 2} .5036336{col 37}{space 1}    3.48{col 46}{space 3}0.001{col 54}{space 4} .7655403{col 67}{space 3} 2.739748
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.815116{col 26}{space 2} .5097599{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .8160049{col 67}{space 3} 2.814227
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.879814{col 26}{space 2} .5162242{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} .8680335{col 67}{space 3} 2.891595
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 1.946819{col 26}{space 2} .5231012{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .9215596{col 67}{space 3} 2.972078
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 2.016212{col 26}{space 2} .5304753{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .9764996{col 67}{space 3} 3.055924
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 2.088078{col 26}{space 2} .5384415{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4} 1.032753{col 67}{space 3} 3.143404
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 2.162507{col 26}{space 2} .5471057{col 37}{space 1}    3.95{col 46}{space 3}0.000{col 54}{space 4} 1.090199{col 67}{space 3} 3.234814
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 2.239588{col 26}{space 2} .5565853{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4}   1.1487{col 67}{space 3} 3.330475
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 2.319416{col 26}{space 2} .5670088{col 37}{space 1}    4.09{col 46}{space 3}0.000{col 54}{space 4} 1.208099{col 67}{space 3} 3.430733
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  2.40209{col 26}{space 2} .5785164{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} 1.268219{col 67}{space 3} 3.535961
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 2.487711{col 26}{space 2}  .591259{col 37}{space 1}    4.21{col 46}{space 3}0.000{col 54}{space 4} 1.328864{col 67}{space 3} 3.646557
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 2.576383{col 26}{space 2} .6053981{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4} 1.389825{col 67}{space 3} 3.762942
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 2.668217{col 26}{space 2} .6211046{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} 1.450874{col 67}{space 3}  3.88556
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 2.763324{col 26}{space 2} .6385578{col 37}{space 1}    4.33{col 46}{space 3}0.000{col 54}{space 4} 1.511773{col 67}{space 3} 4.014874
{txt}{space 9}16  {c |}{col 14}{res}{space 2}  2.86182{col 26}{space 2} .6579439{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4} 1.572274{col 67}{space 3} 4.151367
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 2.963828{col 26}{space 2} .6794549{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} 1.632121{col 67}{space 3} 4.295535
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 3.069471{col 26}{space 2} .7032869{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} 1.691054{col 67}{space 3} 4.447888
{txt}{space 9}19  {c |}{col 14}{res}{space 2}  3.17888{col 26}{space 2} .7296386{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} 1.748815{col 67}{space 3} 4.608946
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 3.292189{col 26}{space 2} .7587103{col 37}{space 1}    4.34{col 46}{space 3}0.000{col 54}{space 4} 1.805145{col 67}{space 3} 4.779234
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 3.409537{col 26}{space 2} .7907024{col 37}{space 1}    4.31{col 46}{space 3}0.000{col 54}{space 4} 1.859789{col 67}{space 3} 4.959285
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 3.531068{col 26}{space 2} .8258155{col 37}{space 1}    4.28{col 46}{space 3}0.000{col 54}{space 4} 1.912499{col 67}{space 3} 5.149636
{txt}{space 9}23  {c |}{col 14}{res}{space 2}  3.65693{col 26}{space 2} .8642489{col 37}{space 1}    4.23{col 46}{space 3}0.000{col 54}{space 4} 1.963033{col 67}{space 3} 5.350827
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 3.787279{col 26}{space 2} .9062017{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} 2.011156{col 67}{space 3} 5.563401
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 3.922274{col 26}{space 2} .9518721{col 37}{space 1}    4.12{col 46}{space 3}0.000{col 54}{space 4} 2.056638{col 67}{space 3} 5.787909
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  4.06208{col 26}{space 2} 1.001459{col 37}{space 1}    4.06{col 46}{space 3}0.000{col 54}{space 4} 2.099258{col 67}{space 3} 6.024903
{txt}{space 9}27  {c |}{col 14}{res}{space 2}  4.20687{col 26}{space 2}  1.05516{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} 2.138794{col 67}{space 3} 6.274946
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[1._at] = _b[27._at]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1bn._at - 27._at = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    7.17
{txt}{col 10}Prob > chi2 =  {res}  0.0074
{txt}
{com}. 
. eststo: nbreg d_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-380621.42}  
Iteration 1:{space 3}log pseudolikelihood = {res:-283062.04}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-107991.78}  
Iteration 3:{space 3}log pseudolikelihood = {res:-60193.704}  
Iteration 4:{space 3}log pseudolikelihood = {res:-32132.221}  
Iteration 5:{space 3}log pseudolikelihood = {res: -29224.07}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29181.899}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29181.866}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29181.866}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3471.1818}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3248.3329}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3103.9689}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3062.8456}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3060.9274}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3060.9248}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3060.9248}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}  15157.97
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3060.9248{txt}{col 49}Pseudo R2{col 67}= {res}    0.1308

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        d_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2} .6597657{col 41}{space 2} .2651058{col 52}{space 1}    2.49{col 61}{space 3}0.013{col 69}{space 4}  .140168{col 82}{space 3} 1.179363
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .2469406{col 41}{space 2} .0905826{col 52}{space 1}    2.73{col 61}{space 3}0.006{col 69}{space 4} .0694019{col 82}{space 3} .4244793
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2}-.6294226{col 41}{space 2} .2334475{col 52}{space 1}   -2.70{col 61}{space 3}0.007{col 69}{space 4}-1.086971{col 82}{space 3}-.1718738
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2} 1.015479{col 41}{space 2} .0659683{col 52}{space 1}   15.39{col 61}{space 3}0.000{col 69}{space 4} .8861839{col 82}{space 3} 1.144775
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0914622{col 41}{space 2} .0191808{col 52}{space 1}   -4.77{col 61}{space 3}0.000{col 69}{space 4} -.129056{col 82}{space 3}-.0538684
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .0248035{col 41}{space 2} .0420725{col 52}{space 1}    0.59{col 61}{space 3}0.555{col 69}{space 4} -.057657{col 82}{space 3}  .107264
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .5164057{col 41}{space 2} .1354915{col 52}{space 1}    3.81{col 61}{space 3}0.000{col 69}{space 4} .2508472{col 82}{space 3} .7819643
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2} .2163275{col 41}{space 2} .5653626{col 52}{space 1}    0.38{col 61}{space 3}0.702{col 69}{space 4}-.8917628{col 82}{space 3} 1.324418
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2}-.0977397{col 41}{space 2}  .087982{col 52}{space 1}   -1.11{col 61}{space 3}0.267{col 69}{space 4}-.2701813{col 82}{space 3} .0747019
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2}-.0379125{col 41}{space 2} .1463882{col 52}{space 1}   -0.26{col 61}{space 3}0.796{col 69}{space 4}-.3248282{col 82}{space 3} .2490031
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0098548{col 41}{space 2} .0014102{col 52}{space 1}    6.99{col 61}{space 3}0.000{col 69}{space 4} .0070908{col 82}{space 3} .0126187
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-25.55003{col 41}{space 2} .4017834{col 52}{space 1}  -63.59{col 61}{space 3}0.000{col 69}{space 4}-26.33751{col 82}{space 3}-24.76255
{txt}{space 25}5  {c |}{col 29}{res}{space 2} .7575335{col 41}{space 2} .3480844{col 52}{space 1}    2.18{col 61}{space 3}0.030{col 69}{space 4} .0753006{col 82}{space 3} 1.439766
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.188515{col 41}{space 2} .2660452{col 52}{space 1}   -4.47{col 61}{space 3}0.000{col 69}{space 4}-1.709954{col 82}{space 3}-.6670762
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .1062718{col 41}{space 2} .1780442{col 52}{space 1}    0.60{col 61}{space 3}0.551{col 69}{space 4}-.2426885{col 82}{space 3} .4552321
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.4599355{col 41}{space 2}  .196109{col 52}{space 1}   -2.35{col 61}{space 3}0.019{col 69}{space 4}-.8443022{col 82}{space 3}-.0755689
{txt}{space 23}200  {c |}{col 29}{res}{space 2} -1.09885{col 41}{space 2} .2516135{col 52}{space 1}   -4.37{col 61}{space 3}0.000{col 69}{space 4}-1.592003{col 82}{space 3}-.6056964
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-13.25302{col 41}{space 2} 1.574816{col 52}{space 1}   -8.42{col 61}{space 3}0.000{col 69}{space 4} -16.3396{col 82}{space 3}-10.16644
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.023076{col 41}{space 2} .0565777{col 69}{space 4} .9121853{col 82}{space 3} 1.133966
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 2.781737{col 41}{space 2} .1573842{col 69}{space 4} 2.489757{col 82}{space 3} 3.107957
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est13{txt} stored)

{com}. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=1 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.717921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.617921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.517921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.417921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.317921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.217921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.182079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.282079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.382079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.482079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.582079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 30.44725{col 26}{space 2} 14.75692{col 37}{space 1}    2.06{col 46}{space 3}0.039{col 54}{space 4} 1.524219{col 67}{space 3} 59.37029
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 29.30469{col 26}{space 2} 13.62192{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4} 2.606218{col 67}{space 3} 56.00316
{txt}{space 10}3  {c |}{col 14}{res}{space 2}   28.205{col 26}{space 2} 12.55537{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} 3.596932{col 67}{space 3} 52.81307
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 27.14658{col 26}{space 2} 11.55412{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} 4.500926{col 67}{space 3} 49.79224
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 26.12788{col 26}{space 2} 10.61522{col 37}{space 1}    2.46{col 46}{space 3}0.014{col 54}{space 4} 5.322434{col 67}{space 3} 46.93333
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 25.14741{col 26}{space 2} 9.735922{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} 6.065351{col 67}{space 3} 44.22946
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 24.20373{col 26}{space 2} 8.913684{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} 6.733227{col 67}{space 3} 41.67423
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 23.29546{col 26}{space 2} 8.146173{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} 7.329254{col 67}{space 3} 39.26166
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 22.42127{col 26}{space 2} 7.431275{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} 7.856241{col 67}{space 3} 36.98631
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 21.57989{col 26}{space 2} 6.767112{col 37}{space 1}    3.19{col 46}{space 3}0.001{col 54}{space 4} 8.316598{col 67}{space 3} 34.84319
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 20.77009{col 26}{space 2} 6.152049{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} 8.712294{col 67}{space 3} 32.82788
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 19.99067{col 26}{space 2} 5.584717{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} 9.044824{col 67}{space 3} 30.93651
{txt}{space 9}13  {c |}{col 14}{res}{space 2}  19.2405{col 26}{space 2} 5.064036{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} 9.315172{col 67}{space 3} 29.16583
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 18.51848{col 26}{space 2} 4.589223{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4} 9.523769{col 67}{space 3} 27.51319
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 17.82356{col 26}{space 2}  4.15981{col 37}{space 1}    4.28{col 46}{space 3}0.000{col 54}{space 4}  9.67048{col 67}{space 3} 25.97664
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 17.15471{col 26}{space 2} 3.775622{col 37}{space 1}    4.54{col 46}{space 3}0.000{col 54}{space 4} 9.754627{col 67}{space 3}  24.5548
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 16.51096{col 26}{space 2} 3.436732{col 37}{space 1}    4.80{col 46}{space 3}0.000{col 54}{space 4} 9.775093{col 67}{space 3} 23.24684
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 15.89137{col 26}{space 2} 3.143337{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} 9.730547{col 67}{space 3}  22.0522
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 15.29503{col 26}{space 2} 2.895555{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} 9.619851{col 67}{space 3} 20.97022
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 14.72107{col 26}{space 2} 2.693121{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} 9.442653{col 67}{space 3} 19.99949
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 14.16865{col 26}{space 2} 2.535018{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} 9.200108{col 67}{space 3} 19.13719
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 13.63696{col 26}{space 2} 2.419134{col 37}{space 1}    5.64{col 46}{space 3}0.000{col 54}{space 4} 8.895543{col 67}{space 3} 18.37837
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 13.12522{col 26}{space 2} 2.342084{col 37}{space 1}    5.60{col 46}{space 3}0.000{col 54}{space 4} 8.534819{col 67}{space 3} 17.71562
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 12.63268{col 26}{space 2} 2.299291{col 37}{space 1}    5.49{col 46}{space 3}0.000{col 54}{space 4} 8.126154{col 67}{space 3} 17.13921
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 12.15863{col 26}{space 2}  2.28535{col 37}{space 1}    5.32{col 46}{space 3}0.000{col 54}{space 4} 7.679425{col 67}{space 3} 16.63783
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 11.70236{col 26}{space 2} 2.294535{col 37}{space 1}    5.10{col 46}{space 3}0.000{col 54}{space 4} 7.205159{col 67}{space 3} 16.19957
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 11.26322{col 26}{space 2} 2.321304{col 37}{space 1}    4.85{col 46}{space 3}0.000{col 54}{space 4}  6.71355{col 67}{space 3} 15.81289
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[1._at] = _b[27._at]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1bn._at - 27._at = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    1.57
{txt}{col 10}Prob > chi2 =  {res}  0.2098
{txt}
{com}. 
. eststo: nbreg d_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-380621.42}  
Iteration 1:{space 3}log pseudolikelihood = {res:-283062.04}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-107991.78}  
Iteration 3:{space 3}log pseudolikelihood = {res:-60193.704}  
Iteration 4:{space 3}log pseudolikelihood = {res:-32132.221}  
Iteration 5:{space 3}log pseudolikelihood = {res: -29224.07}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29181.899}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29181.866}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29181.866}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3471.1818}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3248.3329}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3103.9689}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3062.8456}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3060.9274}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3060.9248}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3060.9248}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}  15157.97
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3060.9248{txt}{col 49}Pseudo R2{col 67}= {res}    0.1308

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        d_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2} .6597657{col 41}{space 2} .2651058{col 52}{space 1}    2.49{col 61}{space 3}0.013{col 69}{space 4}  .140168{col 82}{space 3} 1.179363
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .2469406{col 41}{space 2} .0905826{col 52}{space 1}    2.73{col 61}{space 3}0.006{col 69}{space 4} .0694019{col 82}{space 3} .4244793
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2}-.6294226{col 41}{space 2} .2334475{col 52}{space 1}   -2.70{col 61}{space 3}0.007{col 69}{space 4}-1.086971{col 82}{space 3}-.1718738
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2} 1.015479{col 41}{space 2} .0659683{col 52}{space 1}   15.39{col 61}{space 3}0.000{col 69}{space 4} .8861839{col 82}{space 3} 1.144775
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0914622{col 41}{space 2} .0191808{col 52}{space 1}   -4.77{col 61}{space 3}0.000{col 69}{space 4} -.129056{col 82}{space 3}-.0538684
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .0248035{col 41}{space 2} .0420725{col 52}{space 1}    0.59{col 61}{space 3}0.555{col 69}{space 4} -.057657{col 82}{space 3}  .107264
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .5164057{col 41}{space 2} .1354915{col 52}{space 1}    3.81{col 61}{space 3}0.000{col 69}{space 4} .2508472{col 82}{space 3} .7819643
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2} .2163275{col 41}{space 2} .5653626{col 52}{space 1}    0.38{col 61}{space 3}0.702{col 69}{space 4}-.8917628{col 82}{space 3} 1.324418
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2}-.0977397{col 41}{space 2}  .087982{col 52}{space 1}   -1.11{col 61}{space 3}0.267{col 69}{space 4}-.2701813{col 82}{space 3} .0747019
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2}-.0379125{col 41}{space 2} .1463882{col 52}{space 1}   -0.26{col 61}{space 3}0.796{col 69}{space 4}-.3248282{col 82}{space 3} .2490031
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0098548{col 41}{space 2} .0014102{col 52}{space 1}    6.99{col 61}{space 3}0.000{col 69}{space 4} .0070908{col 82}{space 3} .0126187
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-25.55003{col 41}{space 2} .4017834{col 52}{space 1}  -63.59{col 61}{space 3}0.000{col 69}{space 4}-26.33751{col 82}{space 3}-24.76255
{txt}{space 25}5  {c |}{col 29}{res}{space 2} .7575335{col 41}{space 2} .3480844{col 52}{space 1}    2.18{col 61}{space 3}0.030{col 69}{space 4} .0753006{col 82}{space 3} 1.439766
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.188515{col 41}{space 2} .2660452{col 52}{space 1}   -4.47{col 61}{space 3}0.000{col 69}{space 4}-1.709954{col 82}{space 3}-.6670762
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .1062718{col 41}{space 2} .1780442{col 52}{space 1}    0.60{col 61}{space 3}0.551{col 69}{space 4}-.2426885{col 82}{space 3} .4552321
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.4599355{col 41}{space 2}  .196109{col 52}{space 1}   -2.35{col 61}{space 3}0.019{col 69}{space 4}-.8443022{col 82}{space 3}-.0755689
{txt}{space 23}200  {c |}{col 29}{res}{space 2} -1.09885{col 41}{space 2} .2516135{col 52}{space 1}   -4.37{col 61}{space 3}0.000{col 69}{space 4}-1.592003{col 82}{space 3}-.6056964
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-13.25302{col 41}{space 2} 1.574816{col 52}{space 1}   -8.42{col 61}{space 3}0.000{col 69}{space 4} -16.3396{col 82}{space 3}-10.16644
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.023076{col 41}{space 2} .0565777{col 69}{space 4} .9121853{col 82}{space 3} 1.133966
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 2.781737{col 41}{space 2} .1573842{col 69}{space 4} 2.489757{col 82}{space 3} 3.107957
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est14{txt} stored)

{com}. margins, at(empowerscore3=(-1.017921 (.1) 1.641703) declaredsoe=0 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-1.017921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.917921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.817921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.717921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.617921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.517921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.417921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.317921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.217921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}-.117921}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.482079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.582079}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  8.29396{col 26}{space 2} 1.621965{col 37}{space 1}    5.11{col 46}{space 3}0.000{col 54}{space 4} 5.114968{col 67}{space 3} 11.47295
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 8.501322{col 26}{space 2} 1.610773{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} 5.344264{col 67}{space 3} 11.65838
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 8.713867{col 26}{space 2} 1.600145{col 37}{space 1}    5.45{col 46}{space 3}0.000{col 54}{space 4}  5.57764{col 67}{space 3} 11.85009
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 8.931727{col 26}{space 2} 1.590386{col 37}{space 1}    5.62{col 46}{space 3}0.000{col 54}{space 4} 5.814628{col 67}{space 3} 12.04883
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 9.155033{col 26}{space 2} 1.581843{col 37}{space 1}    5.79{col 46}{space 3}0.000{col 54}{space 4} 6.054679{col 67}{space 3} 12.25539
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 9.383923{col 26}{space 2} 1.574912{col 37}{space 1}    5.96{col 46}{space 3}0.000{col 54}{space 4} 6.297151{col 67}{space 3} 12.47069
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 9.618535{col 26}{space 2}  1.57004{col 37}{space 1}    6.13{col 46}{space 3}0.000{col 54}{space 4} 6.541313{col 67}{space 3} 12.69576
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 9.859013{col 26}{space 2} 1.567719{col 37}{space 1}    6.29{col 46}{space 3}0.000{col 54}{space 4} 6.786339{col 67}{space 3} 12.93169
{txt}{space 10}9  {c |}{col 14}{res}{space 2}  10.1055{col 26}{space 2} 1.568491{col 37}{space 1}    6.44{col 46}{space 3}0.000{col 54}{space 4} 7.031316{col 67}{space 3} 13.17969
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 10.35816{col 26}{space 2} 1.572939{col 37}{space 1}    6.59{col 46}{space 3}0.000{col 54}{space 4} 7.275251{col 67}{space 3} 13.44106
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 10.61712{col 26}{space 2} 1.581682{col 37}{space 1}    6.71{col 46}{space 3}0.000{col 54}{space 4} 7.517084{col 67}{space 3} 13.71716
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 10.88257{col 26}{space 2} 1.595364{col 37}{space 1}    6.82{col 46}{space 3}0.000{col 54}{space 4} 7.755713{col 67}{space 3} 14.00942
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 11.15465{col 26}{space 2} 1.614639{col 37}{space 1}    6.91{col 46}{space 3}0.000{col 54}{space 4} 7.990014{col 67}{space 3} 14.31928
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 11.43353{col 26}{space 2} 1.640161{col 37}{space 1}    6.97{col 46}{space 3}0.000{col 54}{space 4} 8.218875{col 67}{space 3} 14.64819
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 11.71939{col 26}{space 2} 1.672562{col 37}{space 1}    7.01{col 46}{space 3}0.000{col 54}{space 4} 8.441226{col 67}{space 3} 14.99755
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 12.01239{col 26}{space 2}  1.71244{col 37}{space 1}    7.01{col 46}{space 3}0.000{col 54}{space 4} 8.656068{col 67}{space 3} 15.36871
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 12.31272{col 26}{space 2} 1.760346{col 37}{space 1}    6.99{col 46}{space 3}0.000{col 54}{space 4} 8.862502{col 67}{space 3} 15.76293
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 12.62055{col 26}{space 2} 1.816769{col 37}{space 1}    6.95{col 46}{space 3}0.000{col 54}{space 4} 9.059751{col 67}{space 3} 16.18135
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 12.93609{col 26}{space 2} 1.882137{col 37}{space 1}    6.87{col 46}{space 3}0.000{col 54}{space 4} 9.247165{col 67}{space 3} 16.62501
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 13.25951{col 26}{space 2} 1.956809{col 37}{space 1}    6.78{col 46}{space 3}0.000{col 54}{space 4} 9.424232{col 67}{space 3} 17.09478
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 13.59101{col 26}{space 2} 2.041083{col 37}{space 1}    6.66{col 46}{space 3}0.000{col 54}{space 4} 9.590564{col 67}{space 3} 17.59146
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 13.93081{col 26}{space 2} 2.135203{col 37}{space 1}    6.52{col 46}{space 3}0.000{col 54}{space 4} 9.745889{col 67}{space 3} 18.11573
{txt}{space 9}23  {c |}{col 14}{res}{space 2}  14.2791{col 26}{space 2} 2.239362{col 37}{space 1}    6.38{col 46}{space 3}0.000{col 54}{space 4} 9.890032{col 67}{space 3} 18.66817
{txt}{space 9}24  {c |}{col 14}{res}{space 2}  14.6361{col 26}{space 2}  2.35372{col 37}{space 1}    6.22{col 46}{space 3}0.000{col 54}{space 4} 10.02289{col 67}{space 3} 19.24931
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 15.00202{col 26}{space 2} 2.478411{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4} 10.14443{col 67}{space 3} 19.85962
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  15.3771{col 26}{space 2} 2.613552{col 37}{space 1}    5.88{col 46}{space 3}0.000{col 54}{space 4} 10.25463{col 67}{space 3} 20.49956
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 15.76155{col 26}{space 2} 2.759255{col 37}{space 1}    5.71{col 46}{space 3}0.000{col 54}{space 4} 10.35351{col 67}{space 3} 21.16959
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[1._at] = _b[27._at]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1bn._at - 27._at = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    6.57
{txt}{col 10}Prob > chi2 =  {res}  0.0104
{txt}
{com}. 
. eststo: nbreg f_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102552.85}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56005.741}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-38778.367}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11829.323}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9901.5332}  
Iteration 5:{space 3}log pseudolikelihood = {res:-9859.3081}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9859.1347}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9859.1129}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9859.1089}  
Iteration 9:{space 3}log pseudolikelihood = {res: -9859.108}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 11:{space 2}log pseudolikelihood = {res:-9859.1077}  
Iteration 12:{space 2}log pseudolikelihood = {res:-9859.1077}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2363.3811}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2202.0318}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2087.7952}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2036.5917}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2023.4496}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2023.4413}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2023.4413}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1491.73
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2023.4413{txt}{col 49}Pseudo R2{col 67}= {res}    0.1526

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        f_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2}-.4754445{col 41}{space 2} .4573902{col 52}{space 1}   -1.04{col 61}{space 3}0.299{col 69}{space 4}-1.371913{col 82}{space 3} .4210239
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .3502374{col 41}{space 2} .1102126{col 52}{space 1}    3.18{col 61}{space 3}0.001{col 69}{space 4} .1342246{col 82}{space 3} .5662502
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2} 1.192136{col 41}{space 2} .2880495{col 52}{space 1}    4.14{col 61}{space 3}0.000{col 69}{space 4}  .627569{col 82}{space 3} 1.756702
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2}  .856207{col 41}{space 2} .0758168{col 52}{space 1}   11.29{col 61}{space 3}0.000{col 69}{space 4} .7076087{col 82}{space 3} 1.004805
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0225795{col 41}{space 2} .0226577{col 52}{space 1}   -1.00{col 61}{space 3}0.319{col 69}{space 4}-.0669878{col 82}{space 3} .0218287
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .5067003{col 41}{space 2} .0777617{col 52}{space 1}    6.52{col 61}{space 3}0.000{col 69}{space 4} .3542902{col 82}{space 3} .6591104
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .0604718{col 41}{space 2} .2112028{col 52}{space 1}    0.29{col 61}{space 3}0.775{col 69}{space 4}-.3534781{col 82}{space 3} .4744218
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2}-1.836327{col 41}{space 2} .7633388{col 52}{space 1}   -2.41{col 61}{space 3}0.016{col 69}{space 4}-3.332444{col 82}{space 3} -.340211
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2} .0941021{col 41}{space 2} .1590532{col 52}{space 1}    0.59{col 61}{space 3}0.554{col 69}{space 4}-.2176365{col 82}{space 3} .4058407
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2} .0242868{col 41}{space 2} .1544246{col 52}{space 1}    0.16{col 61}{space 3}0.875{col 69}{space 4}-.2783798{col 82}{space 3} .3269534
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0067268{col 41}{space 2} .0010694{col 52}{space 1}    6.29{col 61}{space 3}0.000{col 69}{space 4} .0046309{col 82}{space 3} .0088227
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-20.19067{col 41}{space 2} .9378548{col 52}{space 1}  -21.53{col 61}{space 3}0.000{col 69}{space 4}-22.02883{col 82}{space 3}-18.35251
{txt}{space 25}5  {c |}{col 29}{res}{space 2} 2.778671{col 41}{space 2} .3389857{col 52}{space 1}    8.20{col 61}{space 3}0.000{col 69}{space 4} 2.114271{col 82}{space 3} 3.443071
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.905865{col 41}{space 2} .4388558{col 52}{space 1}   -4.34{col 61}{space 3}0.000{col 69}{space 4}-2.766007{col 82}{space 3}-1.045723
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .0227282{col 41}{space 2} .1643047{col 52}{space 1}    0.14{col 61}{space 3}0.890{col 69}{space 4} -.299303{col 82}{space 3} .3447595
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.2076093{col 41}{space 2}  .312303{col 52}{space 1}   -0.66{col 61}{space 3}0.506{col 69}{space 4}-.8197119{col 82}{space 3} .4044933
{txt}{space 23}200  {c |}{col 29}{res}{space 2}-1.205593{col 41}{space 2} .3414065{col 52}{space 1}   -3.53{col 61}{space 3}0.000{col 69}{space 4}-1.874738{col 82}{space 3}-.5364485
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-14.37041{col 41}{space 2} 2.509363{col 52}{space 1}   -5.73{col 61}{space 3}0.000{col 69}{space 4}-19.28867{col 82}{space 3}-9.452149
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.299724{col 41}{space 2} .0883786{col 69}{space 4} 1.126505{col 82}{space 3} 1.472942
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 3.668283{col 41}{space 2} .3241976{col 69}{space 4} 3.084855{col 82}{space 3} 4.362051
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est15{txt} stored)

{com}. margins, at(empowerscore3=(-.4865506 1.4489162) declaredsoe=1 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-.4865506}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.448916}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .7094458{col 26}{space 2} .3805628{col 37}{space 1}    1.86{col 46}{space 3}0.062{col 54}{space 4}-.0364436{col 67}{space 3} 1.455335
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 14.04042{col 26}{space 2} 2.491858{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4}  9.15647{col 67}{space 3} 18.92437
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[1._at] = _b[2._at]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1bn._at - 2._at = 0{p_end}

{txt}{col 12}chi2(  1) ={res}   31.17
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. 
. eststo: nbreg d_3 declaredsoe##c.empowerscore3 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-380621.42}  
Iteration 1:{space 3}log pseudolikelihood = {res:-283062.04}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-107991.78}  
Iteration 3:{space 3}log pseudolikelihood = {res:-60193.704}  
Iteration 4:{space 3}log pseudolikelihood = {res:-32132.221}  
Iteration 5:{space 3}log pseudolikelihood = {res: -29224.07}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29181.899}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29181.866}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29181.866}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3471.1818}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3248.3329}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3103.9689}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3062.8456}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3060.9274}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3060.9248}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3060.9248}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}  15157.97
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3060.9248{txt}{col 49}Pseudo R2{col 67}= {res}    0.1308

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        d_3{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.declaredsoe {c |}{col 29}{res}{space 2} .6597657{col 41}{space 2} .2651058{col 52}{space 1}    2.49{col 61}{space 3}0.013{col 69}{space 4}  .140168{col 82}{space 3} 1.179363
{txt}{space 14}empowerscore3 {c |}{col 29}{res}{space 2} .2469406{col 41}{space 2} .0905826{col 52}{space 1}    2.73{col 61}{space 3}0.006{col 69}{space 4} .0694019{col 82}{space 3} .4244793
{txt}{space 27} {c |}
declaredsoe#c.empowerscore3 {c |}
{space 25}1  {c |}{col 29}{res}{space 2}-.6294226{col 41}{space 2} .2334475{col 52}{space 1}   -2.70{col 61}{space 3}0.007{col 69}{space 4}-1.086971{col 82}{space 3}-.1718738
{txt}{space 27} {c |}
{space 22}lnpop {c |}{col 29}{res}{space 2} 1.015479{col 41}{space 2} .0659683{col 52}{space 1}   15.39{col 61}{space 3}0.000{col 69}{space 4} .8861839{col 82}{space 3} 1.144775
{txt}{space 21}gdpcap {c |}{col 29}{res}{space 2}-.0914622{col 41}{space 2} .0191808{col 52}{space 1}   -4.77{col 61}{space 3}0.000{col 69}{space 4} -.129056{col 82}{space 3}-.0538684
{txt}{space 24}gy1 {c |}{col 29}{res}{space 2} .0248035{col 41}{space 2} .0420725{col 52}{space 1}    0.59{col 61}{space 3}0.555{col 69}{space 4} -.057657{col 82}{space 3}  .107264
{txt}{space 20}civ_lib {c |}{col 29}{res}{space 2} .5164057{col 41}{space 2} .1354915{col 52}{space 1}    3.81{col 61}{space 3}0.000{col 69}{space 4} .2508472{col 82}{space 3} .7819643
{txt}{space 18}polconiii {c |}{col 29}{res}{space 2} .2163275{col 41}{space 2} .5653626{col 52}{space 1}    0.38{col 61}{space 3}0.702{col 69}{space 4}-.8917628{col 82}{space 3} 1.324418
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2}-.0977397{col 41}{space 2}  .087982{col 52}{space 1}   -1.11{col 61}{space 3}0.267{col 69}{space 4}-.2701813{col 82}{space 3} .0747019
{txt}{space 21}lagmid {c |}{col 29}{res}{space 2}-.0379125{col 41}{space 2} .1463882{col 52}{space 1}   -0.26{col 61}{space 3}0.796{col 69}{space 4}-.3248282{col 82}{space 3} .2490031
{txt}{space 20}lagterr {c |}{col 29}{res}{space 2} .0098548{col 41}{space 2} .0014102{col 52}{space 1}    6.99{col 61}{space 3}0.000{col 69}{space 4} .0070908{col 82}{space 3} .0126187
{txt}{space 27} {c |}
{space 21}region {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-25.55003{col 41}{space 2} .4017834{col 52}{space 1}  -63.59{col 61}{space 3}0.000{col 69}{space 4}-26.33751{col 82}{space 3}-24.76255
{txt}{space 25}5  {c |}{col 29}{res}{space 2} .7575335{col 41}{space 2} .3480844{col 52}{space 1}    2.18{col 61}{space 3}0.030{col 69}{space 4} .0753006{col 82}{space 3} 1.439766
{txt}{space 25}7  {c |}{col 29}{res}{space 2}-1.188515{col 41}{space 2} .2660452{col 52}{space 1}   -4.47{col 61}{space 3}0.000{col 69}{space 4}-1.709954{col 82}{space 3}-.6670762
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 23}198  {c |}{col 29}{res}{space 2} .1062718{col 41}{space 2} .1780442{col 52}{space 1}    0.60{col 61}{space 3}0.551{col 69}{space 4}-.2426885{col 82}{space 3} .4552321
{txt}{space 23}199  {c |}{col 29}{res}{space 2}-.4599355{col 41}{space 2}  .196109{col 52}{space 1}   -2.35{col 61}{space 3}0.019{col 69}{space 4}-.8443022{col 82}{space 3}-.0755689
{txt}{space 23}200  {c |}{col 29}{res}{space 2} -1.09885{col 41}{space 2} .2516135{col 52}{space 1}   -4.37{col 61}{space 3}0.000{col 69}{space 4}-1.592003{col 82}{space 3}-.6056964
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-13.25302{col 41}{space 2} 1.574816{col 52}{space 1}   -8.42{col 61}{space 3}0.000{col 69}{space 4} -16.3396{col 82}{space 3}-10.16644
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2} 1.023076{col 41}{space 2} .0565777{col 69}{space 4} .9121853{col 82}{space 3} 1.133966
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 2.781737{col 41}{space 2} .1573842{col 69}{space 4} 2.489757{col 82}{space 3} 3.107957
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est16{txt} stored)

{com}. margins, at(empowerscore3=(-.4865506 1.4489162) declaredsoe=1 lnpop=16.23 gdpcap=10.463 gy1=2.117 civ_lib=2.197 polconiii=0.403 polity2=8.840 lagmid=0.205 lagterr=21.67 ) post
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 2}-.4865506}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:declaredsoe}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:empowersco~3}{space 4}{txt:=} {space 3}1.448916}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lnpop}{space 11}{txt:=} {space 6}16.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gdpcap}{space 10}{txt:=} {space 5}10.463}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:gy1}{space 13}{txt:=} {space 6}2.117}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:civ_lib}{space 9}{txt:=} {space 6}2.197}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polconiii}{space 7}{txt:=} {space 7}.403}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:polity2}{space 9}{txt:=} {space 7}8.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagmid}{space 10}{txt:=} {space 7}.205}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lagterr}{space 9}{txt:=} {space 6}21.67}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 24.84748{col 26}{space 2} 9.471954{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} 6.282787{col 67}{space 3} 43.41217
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 11.85174{col 26}{space 2} 2.289276{col 37}{space 1}    5.18{col 46}{space 3}0.000{col 54}{space 4} 7.364846{col 67}{space 3} 16.33864
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test _b[1._at] = _b[2._at]

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1bn._at - 2._at = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    1.84
{txt}{col 10}Prob > chi2 =  {res}  0.1746
{txt}
{com}. 
. 
. //Granger
. 
. //VAR
. sort ccode year
{txt}
{com}. quietly by ccode year: gen dup = cond(_N==1,0,_n)
{txt}
{com}.         browse if dup>0
{txt}
{com}.         drop if dup>0
{txt}(6,361 observations deleted)

{com}.         drop dup
{txt}
{com}.         
. //pvar sepeth_iden declaredsoe empowerscore3
. //pvargranger
. 
. //pvar pol_iden declaredsoe empowerscore3
. //pvargranger
. 
. reg declaredsoe lagterr

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,903
{txt}{hline 13}{c +}{hline 34}   F(1, 1901)      = {res}   167.49
{txt}       Model {c |} {res} 26.0918176         1  26.0918176   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 296.142549     1,901  .155782509   {txt}R-squared       ={res}    0.0810
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0805
{txt}       Total {c |} {res} 322.234367     1,902    .1694187   {txt}Root MSE        =   {res} .39469

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} declaredsoe{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lagterr {c |}{col 14}{res}{space 2} .0018239{col 26}{space 2} .0001409{col 37}{space 1}   12.94{col 46}{space 3}0.000{col 54}{space 4} .0015475{col 67}{space 3} .0021003
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1836305{col 26}{space 2} .0093866{col 37}{space 1}   19.56{col 46}{space 3}0.000{col 54}{space 4} .1652214{col 67}{space 3} .2020395
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg declaredsoe lagterr i.ccode i.year

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,903
{txt}{hline 13}{c +}{hline 34}   F(106, 1796)    = {res}    13.49
{txt}       Model {c |} {res} 142.841222       106  1.34755869   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 179.393145     1,796  .099884825   {txt}R-squared       ={res}    0.4433
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4104
{txt}       Total {c |} {res} 322.234367     1,902    .1694187   {txt}Root MSE        =   {res} .31605

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} declaredsoe{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lagterr {c |}{col 14}{res}{space 2} .0005054{col 26}{space 2} .0001545{col 37}{space 1}    3.27{col 46}{space 3}0.001{col 54}{space 4} .0002025{col 67}{space 3} .0008084
{txt}{space 12} {c |}
{space 7}ccode {c |}
{space 9}20  {c |}{col 14}{res}{space 2}-.5121473{col 26}{space 2} .0732171{col 37}{space 1}   -6.99{col 46}{space 3}0.000{col 54}{space 4} -.655747{col 67}{space 3}-.3685477
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.4597046{col 26}{space 2}  .078223{col 37}{space 1}   -5.88{col 46}{space 3}0.000{col 54}{space 4}-.6131224{col 67}{space 3}-.3062869
{txt}{space 9}51  {c |}{col 14}{res}{space 2}-.3690375{col 26}{space 2} .0732228{col 37}{space 1}   -5.04{col 46}{space 3}0.000{col 54}{space 4}-.5126483{col 67}{space 3}-.2254266
{txt}{space 9}52  {c |}{col 14}{res}{space 2}-.3927627{col 26}{space 2} .0732248{col 37}{space 1}   -5.36{col 46}{space 3}0.000{col 54}{space 4}-.5363774{col 67}{space 3}-.2491481
{txt}{space 9}70  {c |}{col 14}{res}{space 2}-.3001187{col 26}{space 2} .0986281{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4}-.4935566{col 67}{space 3}-.1066808
{txt}{space 9}90  {c |}{col 14}{res}{space 2}  .063652{col 26}{space 2} .0964623{col 37}{space 1}    0.66{col 46}{space 3}0.509{col 54}{space 4}-.1255382{col 67}{space 3} .2528421
{txt}{space 9}91  {c |}{col 14}{res}{space 2}-.2633992{col 26}{space 2} .0827857{col 37}{space 1}   -3.18{col 46}{space 3}0.001{col 54}{space 4}-.4257657{col 67}{space 3}-.1010327
{txt}{space 9}92  {c |}{col 14}{res}{space 2}-.1490497{col 26}{space 2} .0813594{col 37}{space 1}   -1.83{col 46}{space 3}0.067{col 54}{space 4}-.3086188{col 67}{space 3} .0105194
{txt}{space 9}93  {c |}{col 14}{res}{space 2} -.221212{col 26}{space 2}     .087{col 37}{space 1}   -2.54{col 46}{space 3}0.011{col 54}{space 4}-.3918439{col 67}{space 3}  -.05058
{txt}{space 9}94  {c |}{col 14}{res}{space 2}-.4406586{col 26}{space 2} .0732185{col 37}{space 1}   -6.02{col 46}{space 3}0.000{col 54}{space 4}-.5842609{col 67}{space 3}-.2970563
{txt}{space 9}95  {c |}{col 14}{res}{space 2}-.4465778{col 26}{space 2} .0870256{col 37}{space 1}   -5.13{col 46}{space 3}0.000{col 54}{space 4}-.6172598{col 67}{space 3}-.2758958
{txt}{space 8}100  {c |}{col 14}{res}{space 2} .1304147{col 26}{space 2} .0748636{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0164141{col 67}{space 3} .2772436
{txt}{space 8}101  {c |}{col 14}{res}{space 2}-.1321473{col 26}{space 2} .0764752{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4} -.282137{col 67}{space 3} .0178423
{txt}{space 8}110  {c |}{col 14}{res}{space 2}-.4450489{col 26}{space 2} .0896548{col 37}{space 1}   -4.96{col 46}{space 3}0.000{col 54}{space 4}-.6208875{col 67}{space 3}-.2692103
{txt}{space 8}130  {c |}{col 14}{res}{space 2} .1508051{col 26}{space 2} .0819142{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0098521{col 67}{space 3} .3114623
{txt}{space 8}135  {c |}{col 14}{res}{space 2}  .367094{col 26}{space 2} .0893252{col 37}{space 1}    4.11{col 46}{space 3}0.000{col 54}{space 4} .1919018{col 67}{space 3} .5422862
{txt}{space 8}140  {c |}{col 14}{res}{space 2} .0217124{col 26}{space 2} .0819262{col 37}{space 1}    0.27{col 46}{space 3}0.791{col 54}{space 4}-.1389682{col 67}{space 3} .1823931
{txt}{space 8}145  {c |}{col 14}{res}{space 2} .1701096{col 26}{space 2} .0795558{col 37}{space 1}    2.14{col 46}{space 3}0.033{col 54}{space 4}  .014078{col 67}{space 3} .3261413
{txt}{space 8}150  {c |}{col 14}{res}{space 2}-.1950489{col 26}{space 2} .0896548{col 37}{space 1}   -2.18{col 46}{space 3}0.030{col 54}{space 4}-.3708875{col 67}{space 3}-.0192103
{txt}{space 8}155  {c |}{col 14}{res}{space 2}-.2828939{col 26}{space 2} .0857813{col 37}{space 1}   -3.30{col 46}{space 3}0.001{col 54}{space 4}-.4511354{col 67}{space 3}-.1146523
{txt}{space 8}160  {c |}{col 14}{res}{space 2} -.401749{col 26}{space 2} .0781935{col 37}{space 1}   -5.14{col 46}{space 3}0.000{col 54}{space 4}-.5551088{col 67}{space 3}-.2483893
{txt}{space 8}165  {c |}{col 14}{res}{space 2}-.5340995{col 26}{space 2} .0810926{col 37}{space 1}   -6.59{col 46}{space 3}0.000{col 54}{space 4}-.6931454{col 67}{space 3}-.3750537
{txt}{space 8}200  {c |}{col 14}{res}{space 2} .2630878{col 26}{space 2} .0756137{col 37}{space 1}    3.48{col 46}{space 3}0.001{col 54}{space 4} .1147876{col 67}{space 3} .4113879
{txt}{space 8}205  {c |}{col 14}{res}{space 2} .0809126{col 26}{space 2}  .073171{col 37}{space 1}    1.11{col 46}{space 3}0.269{col 54}{space 4}-.0625967{col 67}{space 3} .2244219
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{txt}{space 8}341  {c |}{col 14}{res}{space 2}-.0574382{col 26}{space 2} .1683011{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.3875247{col 67}{space 3} .2726482
{txt}{space 8}343  {c |}{col 14}{res}{space 2}-.4002147{col 26}{space 2} .0882805{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.5733581{col 67}{space 3}-.2270713
{txt}{space 8}344  {c |}{col 14}{res}{space 2}-.3165036{col 26}{space 2} .1068571{col 37}{space 1}   -2.96{col 46}{space 3}0.003{col 54}{space 4}-.5260808{col 67}{space 3}-.1069263
{txt}{space 8}349  {c |}{col 14}{res}{space 2}-.5420128{col 26}{space 2}  .088295{col 37}{space 1}   -6.14{col 46}{space 3}0.000{col 54}{space 4}-.7151845{col 67}{space 3}-.3688412
{txt}{space 8}350  {c |}{col 14}{res}{space 2}-.3620813{col 26}{space 2} .0752684{col 37}{space 1}   -4.81{col 46}{space 3}0.000{col 54}{space 4}-.5097041{col 67}{space 3}-.2144584
{txt}{space 8}352  {c |}{col 14}{res}{space 2}-.4883739{col 26}{space 2} .0732163{col 37}{space 1}   -6.67{col 46}{space 3}0.000{col 54}{space 4}-.6319719{col 67}{space 3}-.3447758
{txt}{space 8}355  {c |}{col 14}{res}{space 2}-.1610605{col 26}{space 2}  .088295{col 37}{space 1}   -1.82{col 46}{space 3}0.068{col 54}{space 4}-.3342321{col 67}{space 3} .0121112
{txt}{space 8}359  {c |}{col 14}{res}{space 2}-.3317307{col 26}{space 2} .0927257{col 37}{space 1}   -3.58{col 46}{space 3}0.000{col 54}{space 4}-.5135923{col 67}{space 3}-.1498692
{txt}{space 8}360  {c |}{col 14}{res}{space 2}-.3111269{col 26}{space 2} .0964647{col 37}{space 1}   -3.23{col 46}{space 3}0.001{col 54}{space 4}-.5003217{col 67}{space 3}-.1219321
{txt}{space 8}366  {c |}{col 14}{res}{space 2}-.5450489{col 26}{space 2} .0896548{col 37}{space 1}   -6.08{col 46}{space 3}0.000{col 54}{space 4}-.7208875{col 67}{space 3}-.3692103
{txt}{space 8}367  {c |}{col 14}{res}{space 2}-.3991557{col 26}{space 2}  .088295{col 37}{space 1}   -4.52{col 46}{space 3}0.000{col 54}{space 4}-.5723273{col 67}{space 3}-.2259841
{txt}{space 8}368  {c |}{col 14}{res}{space 2}-.4950489{col 26}{space 2} .0896548{col 37}{space 1}   -5.52{col 46}{space 3}0.000{col 54}{space 4}-.6708875{col 67}{space 3}-.3192103
{txt}{space 8}369  {c |}{col 14}{res}{space 2}-.4986269{col 26}{space 2} .0964647{col 37}{space 1}   -5.17{col 46}{space 3}0.000{col 54}{space 4}-.6878217{col 67}{space 3}-.3094321
{txt}{space 8}372  {c |}{col 14}{res}{space 2}-.3238267{col 26}{space 2} .1250774{col 37}{space 1}   -2.59{col 46}{space 3}0.010{col 54}{space 4}-.5691393{col 67}{space 3}-.0785142
{txt}{space 8}375  {c |}{col 14}{res}{space 2}-.5118465{col 26}{space 2} .0732239{col 37}{space 1}   -6.99{col 46}{space 3}0.000{col 54}{space 4}-.6554595{col 67}{space 3}-.3682334
{txt}{space 8}380  {c |}{col 14}{res}{space 2}-.5120149{col 26}{space 2} .0732201{col 37}{space 1}   -6.99{col 46}{space 3}0.000{col 54}{space 4}-.6556204{col 67}{space 3}-.3684094
{txt}{space 8}385  {c |}{col 14}{res}{space 2}-.5119307{col 26}{space 2}  .073222{col 37}{space 1}   -6.99{col 46}{space 3}0.000{col 54}{space 4}  -.65554{col 67}{space 3}-.3683214
{txt}{space 8}390  {c |}{col 14}{res}{space 2} -.512039{col 26}{space 2} .0732195{col 37}{space 1}   -6.99{col 46}{space 3}0.000{col 54}{space 4}-.6556434{col 67}{space 3}-.3684346
{txt}{space 8}640  {c |}{col 14}{res}{space 2}-.0389544{col 26}{space 2} .0754098{col 37}{space 1}   -0.52{col 46}{space 3}0.606{col 54}{space 4}-.1868547{col 67}{space 3} .1089458
{txt}{space 8}666  {c |}{col 14}{res}{space 2}  .465821{col 26}{space 2} .0743295{col 37}{space 1}    6.27{col 46}{space 3}0.000{col 54}{space 4} .3200396{col 67}{space 3} .6116024
{txt}{space 8}713  {c |}{col 14}{res}{space 2}-.4950489{col 26}{space 2} .0896548{col 37}{space 1}   -5.52{col 46}{space 3}0.000{col 54}{space 4}-.6708875{col 67}{space 3}-.3192103
{txt}{space 8}732  {c |}{col 14}{res}{space 2}-.5366949{col 26}{space 2} .0847836{col 37}{space 1}   -6.33{col 46}{space 3}0.000{col 54}{space 4}-.7029798{col 67}{space 3}  -.37041
{txt}{space 8}740  {c |}{col 14}{res}{space 2} -.465852{col 26}{space 2} .0731884{col 37}{space 1}   -6.37{col 46}{space 3}0.000{col 54}{space 4}-.6093954{col 67}{space 3}-.3223087
{txt}{space 8}900  {c |}{col 14}{res}{space 2}-.4405021{col 26}{space 2}  .073222{col 37}{space 1}   -6.02{col 46}{space 3}0.000{col 54}{space 4}-.5841114{col 67}{space 3}-.2968929
{txt}{space 8}920  {c |}{col 14}{res}{space 2}-.3213823{col 26}{space 2} .0732237{col 37}{space 1}   -4.39{col 46}{space 3}0.000{col 54}{space 4}-.4649948{col 67}{space 3}-.1777698
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1972  {c |}{col 14}{res}{space 2}-.0025272{col 26}{space 2} .0912378{col 37}{space 1}   -0.03{col 46}{space 3}0.978{col 54}{space 4}-.1814705{col 67}{space 3} .1764162
{txt}{space 7}1973  {c |}{col 14}{res}{space 2}-.0526638{col 26}{space 2}  .090467{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4}-.2300954{col 67}{space 3} .1247678
{txt}{space 7}1974  {c |}{col 14}{res}{space 2}-.0454385{col 26}{space 2} .0887553{col 37}{space 1}   -0.51{col 46}{space 3}0.609{col 54}{space 4} -.219513{col 67}{space 3}  .128636
{txt}{space 7}1975  {c |}{col 14}{res}{space 2}-.0335431{col 26}{space 2} .0904011{col 37}{space 1}   -0.37{col 46}{space 3}0.711{col 54}{space 4}-.2108456{col 67}{space 3} .1437593
{txt}{space 7}1976  {c |}{col 14}{res}{space 2}-.0133178{col 26}{space 2} .0895901{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4}-.1890296{col 67}{space 3}  .162394
{txt}{space 7}1977  {c |}{col 14}{res}{space 2}-.0121702{col 26}{space 2} .0880425{col 37}{space 1}   -0.14{col 46}{space 3}0.890{col 54}{space 4}-.1848468{col 67}{space 3} .1605064
{txt}{space 7}1978  {c |}{col 14}{res}{space 2}-.0116035{col 26}{space 2} .0888535{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4}-.1858707{col 67}{space 3} .1626636
{txt}{space 7}1979  {c |}{col 14}{res}{space 2} -.034478{col 26}{space 2} .0874005{col 37}{space 1}   -0.39{col 46}{space 3}0.693{col 54}{space 4}-.2058954{col 67}{space 3} .1369395
{txt}{space 7}1980  {c |}{col 14}{res}{space 2}-.0679259{col 26}{space 2} .0869988{col 37}{space 1}   -0.78{col 46}{space 3}0.435{col 54}{space 4}-.2385555{col 67}{space 3} .1027036
{txt}{space 7}1981  {c |}{col 14}{res}{space 2} -.020637{col 26}{space 2}  .086808{col 37}{space 1}   -0.24{col 46}{space 3}0.812{col 54}{space 4}-.1908923{col 67}{space 3} .1496182
{txt}{space 7}1982  {c |}{col 14}{res}{space 2}-.0199094{col 26}{space 2} .0861652{col 37}{space 1}   -0.23{col 46}{space 3}0.817{col 54}{space 4}-.1889041{col 67}{space 3} .1490852
{txt}{space 7}1983  {c |}{col 14}{res}{space 2}-.0622538{col 26}{space 2} .0840896{col 37}{space 1}   -0.74{col 46}{space 3}0.459{col 54}{space 4}-.2271777{col 67}{space 3}   .10267
{txt}{space 7}1984  {c |}{col 14}{res}{space 2}-.0072723{col 26}{space 2} .0836823{col 37}{space 1}   -0.09{col 46}{space 3}0.931{col 54}{space 4}-.1713972{col 67}{space 3} .1568526
{txt}{space 7}1985  {c |}{col 14}{res}{space 2} .0421206{col 26}{space 2} .0832739{col 37}{space 1}    0.51{col 46}{space 3}0.613{col 54}{space 4}-.1212033{col 67}{space 3} .2054446
{txt}{space 7}1986  {c |}{col 14}{res}{space 2}  .027804{col 26}{space 2} .0828492{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4} -.134687{col 67}{space 3} .1902949
{txt}{space 7}1987  {c |}{col 14}{res}{space 2} .0034966{col 26}{space 2} .0828147{col 37}{space 1}    0.04{col 46}{space 3}0.966{col 54}{space 4}-.1589267{col 67}{space 3}   .16592
{txt}{space 7}1988  {c |}{col 14}{res}{space 2} .0000251{col 26}{space 2} .0828771{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1625207{col 67}{space 3} .1625708
{txt}{space 7}1989  {c |}{col 14}{res}{space 2} .0430214{col 26}{space 2} .0821456{col 37}{space 1}    0.52{col 46}{space 3}0.601{col 54}{space 4}-.1180895{col 67}{space 3} .2041324
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} .0348518{col 26}{space 2} .0822853{col 37}{space 1}    0.42{col 46}{space 3}0.672{col 54}{space 4}-.1265332{col 67}{space 3} .1962368
{txt}{space 7}1991  {c |}{col 14}{res}{space 2} -.067074{col 26}{space 2}  .081162{col 37}{space 1}   -0.83{col 46}{space 3}0.409{col 54}{space 4}-.2262559{col 67}{space 3}  .092108
{txt}{space 7}1992  {c |}{col 14}{res}{space 2}-.0145774{col 26}{space 2} .0803837{col 37}{space 1}   -0.18{col 46}{space 3}0.856{col 54}{space 4}-.1722329{col 67}{space 3}  .143078
{txt}{space 7}1993  {c |}{col 14}{res}{space 2}-.0351225{col 26}{space 2} .0787882{col 37}{space 1}   -0.45{col 46}{space 3}0.656{col 54}{space 4}-.1896487{col 67}{space 3} .1194037
{txt}{space 7}1994  {c |}{col 14}{res}{space 2}-.0267922{col 26}{space 2} .0786195{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.1809876{col 67}{space 3} .1274032
{txt}{space 7}1995  {c |}{col 14}{res}{space 2}  .024848{col 26}{space 2} .0782346{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-.1285924{col 67}{space 3} .1782883
{txt}{space 7}1996  {c |}{col 14}{res}{space 2}-.0234642{col 26}{space 2} .0779657{col 37}{space 1}   -0.30{col 46}{space 3}0.763{col 54}{space 4}-.1763772{col 67}{space 3} .1294487
{txt}{space 7}1997  {c |}{col 14}{res}{space 2}-.0034456{col 26}{space 2} .0774123{col 37}{space 1}   -0.04{col 46}{space 3}0.965{col 54}{space 4}-.1552731{col 67}{space 3}  .148382
{txt}{space 7}1998  {c |}{col 14}{res}{space 2} .0364121{col 26}{space 2} .0774275{col 37}{space 1}    0.47{col 46}{space 3}0.638{col 54}{space 4}-.1154454{col 67}{space 3} .1882695
{txt}{space 7}1999  {c |}{col 14}{res}{space 2} .0820671{col 26}{space 2} .0772199{col 37}{space 1}    1.06{col 46}{space 3}0.288{col 54}{space 4}-.0693831{col 67}{space 3} .2335174
{txt}{space 7}2000  {c |}{col 14}{res}{space 2}  .081476{col 26}{space 2}  .077221{col 37}{space 1}    1.06{col 46}{space 3}0.292{col 54}{space 4}-.0699763{col 67}{space 3} .2329284
{txt}{space 7}2001  {c |}{col 14}{res}{space 2} .0570358{col 26}{space 2}   .07689{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-.0937675{col 67}{space 3} .2078391
{txt}{space 7}2002  {c |}{col 14}{res}{space 2} .1362534{col 26}{space 2}  .077058{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4}-.0148793{col 67}{space 3} .2873862
{txt}{space 7}2003  {c |}{col 14}{res}{space 2} .0421452{col 26}{space 2} .0767212{col 37}{space 1}    0.55{col 46}{space 3}0.583{col 54}{space 4} -.108327{col 67}{space 3} .1926174
{txt}{space 7}2004  {c |}{col 14}{res}{space 2}-.0054185{col 26}{space 2} .0767212{col 37}{space 1}   -0.07{col 46}{space 3}0.944{col 54}{space 4}-.1558907{col 67}{space 3} .1450536
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} .1515894{col 26}{space 2} .0765765{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0014011{col 67}{space 3} .3017778
{txt}{space 7}2006  {c |}{col 14}{res}{space 2} .1042489{col 26}{space 2} .0769511{col 37}{space 1}    1.35{col 46}{space 3}0.176{col 54}{space 4}-.0466741{col 67}{space 3} .2551719
{txt}{space 7}2007  {c |}{col 14}{res}{space 2} .1233383{col 26}{space 2} .0769489{col 37}{space 1}    1.60{col 46}{space 3}0.109{col 54}{space 4}-.0275805{col 67}{space 3} .2742571
{txt}{space 7}2008  {c |}{col 14}{res}{space 2}-.0073536{col 26}{space 2} .0769496{col 37}{space 1}   -0.10{col 46}{space 3}0.924{col 54}{space 4}-.1582737{col 67}{space 3} .1435666
{txt}{space 7}2009  {c |}{col 14}{res}{space 2} .0321078{col 26}{space 2} .0768196{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.1185574{col 67}{space 3} .1827731
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .1143182{col 26}{space 2} .0768201{col 37}{space 1}    1.49{col 46}{space 3}0.137{col 54}{space 4} -.036348{col 67}{space 3} .2649845
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .0657518{col 26}{space 2} .0768199{col 37}{space 1}    0.86{col 46}{space 3}0.392{col 54}{space 4}-.0849141{col 67}{space 3} .2164176
{txt}{space 7}2012  {c |}{col 14}{res}{space 2} .0335915{col 26}{space 2}   .07682{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4}-.1170745{col 67}{space 3} .1842576
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .4958695{col 26}{space 2} .0850367{col 37}{space 1}    5.83{col 46}{space 3}0.000{col 54}{space 4} .3290883{col 67}{space 3} .6626508
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen all_terr = pol_iden + sepeth_iden + rel_iden
{txt}(3,464 missing values generated)

{com}. 
. reg all_terr lagsoe

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,088
{txt}{hline 13}{c +}{hline 34}   F(1, 2086)      = {res}   207.79
{txt}       Model {c |} {res} 796594.116         1  796594.116   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 7997098.23     2,086  3833.70001   {txt}R-squared       ={res}    0.0906
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0902
{txt}       Total {c |} {res} 8793692.34     2,087  4213.55647   {txt}Root MSE        =   {res} 61.917

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    all_terr{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}lagsoe {c |}{col 14}{res}{space 2} 48.63961{col 26}{space 2} 3.374276{col 37}{space 1}   14.41{col 46}{space 3}0.000{col 54}{space 4} 42.02231{col 67}{space 3} 55.25691
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 9.151861{col 26}{space 2} 1.516951{col 37}{space 1}    6.03{col 46}{space 3}0.000{col 54}{space 4} 6.176965{col 67}{space 3} 12.12676
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg all_terr lagsoe i.ccode i.year

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,088
{txt}{hline 13}{c +}{hline 34}   F(146, 1941)    = {res}    13.68
{txt}       Model {c |} {res} 4459164.32       146  30542.2213   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 4334528.03     1,941  2233.14169   {txt}R-squared       ={res}    0.5071
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4700
{txt}       Total {c |} {res} 8793692.34     2,087  4213.55647   {txt}Root MSE        =   {res} 47.256

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    all_terr{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}lagsoe {c |}{col 14}{res}{space 2} 12.03298{col 26}{space 2} 3.409454{col 37}{space 1}    3.53{col 46}{space 3}0.000{col 54}{space 4} 5.346403{col 67}{space 3} 18.71956
{txt}{space 12} {c |}
{space 7}ccode {c |}
{space 9}20  {c |}{col 14}{res}{space 2}-11.49999{col 26}{space 2} 12.91498{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-36.82867{col 67}{space 3}  13.8287
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{txt}{space 8}900  {c |}{col 14}{res}{space 2}-11.79334{col 26}{space 2} 13.24912{col 37}{space 1}   -0.89{col 46}{space 3}0.374{col 54}{space 4}-37.77734{col 67}{space 3} 14.19065
{txt}{space 8}920  {c |}{col 14}{res}{space 2}-14.18282{col 26}{space 2} 13.00639{col 37}{space 1}   -1.09{col 46}{space 3}0.276{col 54}{space 4}-39.69078{col 67}{space 3} 11.32513
{txt}{space 8}940  {c |}{col 14}{res}{space 2}-13.82351{col 26}{space 2} 13.75447{col 37}{space 1}   -1.01{col 46}{space 3}0.315{col 54}{space 4} -40.7986{col 67}{space 3} 13.15157
{txt}{space 8}950  {c |}{col 14}{res}{space 2}-12.01717{col 26}{space 2} 15.50191{col 37}{space 1}   -0.78{col 46}{space 3}0.438{col 54}{space 4}-42.41933{col 67}{space 3} 18.38498
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1971  {c |}{col 14}{res}{space 2} 12.33685{col 26}{space 2} 18.21175{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4} -23.3798{col 67}{space 3} 48.05349
{txt}{space 7}1972  {c |}{col 14}{res}{space 2} 33.56762{col 26}{space 2} 18.21175{col 37}{space 1}    1.84{col 46}{space 3}0.065{col 54}{space 4}-2.149026{col 67}{space 3} 69.28426
{txt}{space 7}1973  {c |}{col 14}{res}{space 2} 18.14286{col 26}{space 2} 17.86114{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4}-16.88617{col 67}{space 3} 53.17189
{txt}{space 7}1974  {c |}{col 14}{res}{space 2} 20.26316{col 26}{space 2} 17.32056{col 37}{space 1}    1.17{col 46}{space 3}0.242{col 54}{space 4} -13.7057{col 67}{space 3} 54.23202
{txt}{space 7}1975  {c |}{col 14}{res}{space 2}  14.2292{col 26}{space 2}  16.8933{col 37}{space 1}    0.84{col 46}{space 3}0.400{col 54}{space 4}-18.90172{col 67}{space 3} 47.36011
{txt}{space 7}1976  {c |}{col 14}{res}{space 2}  23.7442{col 26}{space 2} 16.35973{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-8.340288{col 67}{space 3} 55.82869
{txt}{space 7}1977  {c |}{col 14}{res}{space 2} 29.72365{col 26}{space 2} 16.22138{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4}-2.089498{col 67}{space 3}  61.5368
{txt}{space 7}1978  {c |}{col 14}{res}{space 2} 34.70527{col 26}{space 2} 16.08844{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} 3.152837{col 67}{space 3} 66.25771
{txt}{space 7}1979  {c |}{col 14}{res}{space 2} 51.24382{col 26}{space 2} 15.46901{col 37}{space 1}    3.31{col 46}{space 3}0.001{col 54}{space 4} 20.90619{col 67}{space 3} 81.58145
{txt}{space 7}1980  {c |}{col 14}{res}{space 2} 26.61137{col 26}{space 2} 15.25559{col 37}{space 1}    1.74{col 46}{space 3}0.081{col 54}{space 4}-3.307693{col 67}{space 3} 56.53042
{txt}{space 7}1981  {c |}{col 14}{res}{space 2} 25.59232{col 26}{space 2} 14.97487{col 37}{space 1}    1.71{col 46}{space 3}0.088{col 54}{space 4}-3.776198{col 67}{space 3} 54.96084
{txt}{space 7}1982  {c |}{col 14}{res}{space 2} 32.14624{col 26}{space 2} 14.82049{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} 3.080487{col 67}{space 3} 61.21198
{txt}{space 7}1983  {c |}{col 14}{res}{space 2}  37.4528{col 26}{space 2} 14.68158{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} 8.659474{col 67}{space 3} 66.24613
{txt}{space 7}1984  {c |}{col 14}{res}{space 2} 43.03636{col 26}{space 2} 14.66951{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} 14.26671{col 67}{space 3} 71.80601
{txt}{space 7}1985  {c |}{col 14}{res}{space 2} 38.16367{col 26}{space 2} 14.63397{col 37}{space 1}    2.61{col 46}{space 3}0.009{col 54}{space 4} 9.463713{col 67}{space 3} 66.86362
{txt}{space 7}1986  {c |}{col 14}{res}{space 2} 35.61746{col 26}{space 2} 14.63589{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} 6.913742{col 67}{space 3} 64.32119
{txt}{space 7}1987  {c |}{col 14}{res}{space 2} 44.84915{col 26}{space 2} 14.67291{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} 16.07283{col 67}{space 3} 73.62548
{txt}{space 7}1988  {c |}{col 14}{res}{space 2} 53.03148{col 26}{space 2} 14.56181{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} 24.47306{col 67}{space 3} 81.58991
{txt}{space 7}1989  {c |}{col 14}{res}{space 2} 54.01954{col 26}{space 2} 14.49706{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} 25.58809{col 67}{space 3}   82.451
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 47.04016{col 26}{space 2} 14.36556{col 37}{space 1}    3.27{col 46}{space 3}0.001{col 54}{space 4} 18.86661{col 67}{space 3} 75.21371
{txt}{space 7}1991  {c |}{col 14}{res}{space 2}  59.4053{col 26}{space 2} 14.28128{col 37}{space 1}    4.16{col 46}{space 3}0.000{col 54}{space 4} 31.39704{col 67}{space 3} 87.41356
{txt}{space 7}1992  {c |}{col 14}{res}{space 2} 45.97205{col 26}{space 2}  14.0309{col 37}{space 1}    3.28{col 46}{space 3}0.001{col 54}{space 4} 18.45483{col 67}{space 3} 73.48926
{txt}{space 7}1993  {c |}{col 14}{res}{space 2} 8.654198{col 26}{space 2} 13.99609{col 37}{space 1}    0.62{col 46}{space 3}0.536{col 54}{space 4}-18.79475{col 67}{space 3} 36.10314
{txt}{space 7}1994  {c |}{col 14}{res}{space 2} 30.07239{col 26}{space 2} 13.98571{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4} 2.643805{col 67}{space 3} 57.50097
{txt}{space 7}1995  {c |}{col 14}{res}{space 2} 22.43436{col 26}{space 2} 13.97066{col 37}{space 1}    1.61{col 46}{space 3}0.108{col 54}{space 4}-4.964713{col 67}{space 3} 49.83343
{txt}{space 7}1996  {c |}{col 14}{res}{space 2} 22.19599{col 26}{space 2} 13.93021{col 37}{space 1}    1.59{col 46}{space 3}0.111{col 54}{space 4} -5.12376{col 67}{space 3} 49.51575
{txt}{space 7}1997  {c |}{col 14}{res}{space 2} 20.43622{col 26}{space 2}  13.9165{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-6.856638{col 67}{space 3} 47.72908
{txt}{space 7}1998  {c |}{col 14}{res}{space 2} 12.76754{col 26}{space 2} 13.94308{col 37}{space 1}    0.92{col 46}{space 3}0.360{col 54}{space 4}-14.57745{col 67}{space 3} 40.11253
{txt}{space 7}1999  {c |}{col 14}{res}{space 2} 13.84359{col 26}{space 2}  13.9165{col 37}{space 1}    0.99{col 46}{space 3}0.320{col 54}{space 4}-13.44927{col 67}{space 3} 41.13645
{txt}{space 7}2000  {c |}{col 14}{res}{space 2} 16.91907{col 26}{space 2} 13.93896{col 37}{space 1}    1.21{col 46}{space 3}0.225{col 54}{space 4}-10.41783{col 67}{space 3} 44.25597
{txt}{space 7}2001  {c |}{col 14}{res}{space 2} 14.82907{col 26}{space 2} 13.88776{col 37}{space 1}    1.07{col 46}{space 3}0.286{col 54}{space 4}-12.40743{col 67}{space 3} 42.06558
{txt}{space 7}2002  {c |}{col 14}{res}{space 2} 10.60002{col 26}{space 2} 13.88923{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4}-16.63936{col 67}{space 3} 37.83939
{txt}{space 7}2003  {c |}{col 14}{res}{space 2} 10.50038{col 26}{space 2} 13.88808{col 37}{space 1}    0.76{col 46}{space 3}0.450{col 54}{space 4}-16.73674{col 67}{space 3} 37.73749
{txt}{space 7}2004  {c |}{col 14}{res}{space 2} 8.474571{col 26}{space 2} 13.81631{col 37}{space 1}    0.61{col 46}{space 3}0.540{col 54}{space 4}-18.62179{col 67}{space 3} 35.57093
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 11.15587{col 26}{space 2} 13.79166{col 37}{space 1}    0.81{col 46}{space 3}0.419{col 54}{space 4}-15.89216{col 67}{space 3} 38.20389
{txt}{space 7}2006  {c |}{col 14}{res}{space 2} 10.56869{col 26}{space 2} 13.81699{col 37}{space 1}    0.76{col 46}{space 3}0.444{col 54}{space 4}-16.52901{col 67}{space 3} 37.66639
{txt}{space 7}2007  {c |}{col 14}{res}{space 2} 8.881467{col 26}{space 2} 13.82006{col 37}{space 1}    0.64{col 46}{space 3}0.521{col 54}{space 4}-18.22225{col 67}{space 3} 35.98518
{txt}{space 7}2008  {c |}{col 14}{res}{space 2}  16.5131{col 26}{space 2} 13.81691{col 37}{space 1}    1.20{col 46}{space 3}0.232{col 54}{space 4}-10.58445{col 67}{space 3} 43.61065
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 190.7119{col 26}{space 2} 51.06587{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} 90.56222{col 67}{space 3} 290.8617
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} 16.53518{col 26}{space 2} 50.67568{col 37}{space 1}    0.33{col 46}{space 3}0.744{col 54}{space 4}-82.84931{col 67}{space 3} 115.9197
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-15.85805{col 26}{space 2} 16.15404{col 37}{space 1}   -0.98{col 46}{space 3}0.326{col 54}{space 4}-47.53913{col 67}{space 3} 15.82304
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: reg all_terr lagsoe

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,088
{txt}{hline 13}{c +}{hline 34}   F(1, 2086)      = {res}   207.79
{txt}       Model {c |} {res} 796594.116         1  796594.116   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 7997098.23     2,086  3833.70001   {txt}R-squared       ={res}    0.0906
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0902
{txt}       Total {c |} {res} 8793692.34     2,087  4213.55647   {txt}Root MSE        =   {res} 61.917

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    all_terr{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}lagsoe {c |}{col 14}{res}{space 2} 48.63961{col 26}{space 2} 3.374276{col 37}{space 1}   14.41{col 46}{space 3}0.000{col 54}{space 4} 42.02231{col 67}{space 3} 55.25691
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 9.151861{col 26}{space 2} 1.516951{col 37}{space 1}    6.03{col 46}{space 3}0.000{col 54}{space 4} 6.176965{col 67}{space 3} 12.12676
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. eststo: reg declaredsoe lagterr

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,903
{txt}{hline 13}{c +}{hline 34}   F(1, 1901)      = {res}   167.49
{txt}       Model {c |} {res} 26.0918176         1  26.0918176   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 296.142549     1,901  .155782509   {txt}R-squared       ={res}    0.0810
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0805
{txt}       Total {c |} {res} 322.234367     1,902    .1694187   {txt}Root MSE        =   {res} .39469

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} declaredsoe{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lagterr {c |}{col 14}{res}{space 2} .0018239{col 26}{space 2} .0001409{col 37}{space 1}   12.94{col 46}{space 3}0.000{col 54}{space 4} .0015475{col 67}{space 3} .0021003
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1836305{col 26}{space 2} .0093866{col 37}{space 1}   19.56{col 46}{space 3}0.000{col 54}{space 4} .1652214{col 67}{space 3} .2020395
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

{com}.         estout using "granger1.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups( "All Terror" "Declared SOE", pattern(1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(lagsoe lagterr  _cons) ///
>                 order(lagsoe lagterr  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons)) ///
>                 mlabels("(1)" "(2)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"granger1.tex"'})

{com}. eststo clear
{txt}
{com}. 
. //pvar all_terr declaredsoe
. //pvar all_terr empowerscore3
. //pvar all_terr declaredsoe empowerscore3
. 
. //Nat Disasters
. 
. 
. gen pol_soe=.
{txt}(6,102 missing values generated)

{com}. replace pol_soe=0 if declaredsoe==0
{txt}(2,827 real changes made)

{com}. replace pol_soe = 1 if declaredsoe==1 & tiolpoliticalsoe==1
{txt}(220 real changes made)

{com}. replace pol_soe = 1 if declaredsoe==1 & extraterritorialsoe==1
{txt}(13 real changes made)

{com}. 
. gen polsoe_emp= empowerscore3*pol_soe
{txt}(4,323 missing values generated)

{com}. 
. label var pol_soe "Declared Political State of Emergency"
{txt}
{com}. label var polsoe_emp "Declared State of Emergency * Emergency Powers"
{txt}
{com}. label var turaldisastersoe "Natural Disaster State of Emergency"
{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 pol_soe polsoe_emp empowerscore3 turaldisastersoe $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:   -359079}  
Iteration 1:{space 3}log pseudolikelihood = {res:-338360.26}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-234548.84}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-191151.25}  
Iteration 4:{space 3}log pseudolikelihood = {res:-94384.456}  
Iteration 5:{space 3}log pseudolikelihood = {res:-34173.342}  
Iteration 6:{space 3}log pseudolikelihood = {res:  -27225.5}  
Iteration 7:{space 3}log pseudolikelihood = {res:-25515.996}  
Iteration 8:{space 3}log pseudolikelihood = {res:-25510.712}  
Iteration 9:{space 3}log pseudolikelihood = {res:-25510.709}  
Iteration 10:{space 2}log pseudolikelihood = {res:-25510.709}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4800.1563}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3196.4791}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3196.4791}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3159.9229}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2945.2325}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2837.9259}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2765.9977}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2759.4161}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2759.3872}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2759.3872}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       996
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}  14547.00
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2759.3872{txt}{col 49}Pseudo R2{col 67}= {res}    0.1367

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}             d_3{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}pol_soe {c |}{col 18}{res}{space 2}  1.24857{col 30}{space 2} .3516551{col 41}{space 1}    3.55{col 50}{space 3}0.000{col 58}{space 4} .5593387{col 71}{space 3} 1.937801
{txt}{space 6}polsoe_emp {c |}{col 18}{res}{space 2}-.8789632{col 30}{space 2} .2929675{col 41}{space 1}   -3.00{col 50}{space 3}0.003{col 58}{space 4}-1.453169{col 71}{space 3}-.3047574
{txt}{space 3}empowerscore3 {c |}{col 18}{res}{space 2}  .190495{col 30}{space 2} .0934928{col 41}{space 1}    2.04{col 50}{space 3}0.042{col 58}{space 4} .0072526{col 71}{space 3} .3737375
{txt}turaldisastersoe {c |}{col 18}{res}{space 2}-1.078466{col 30}{space 2} .9208211{col 41}{space 1}   -1.17{col 50}{space 3}0.242{col 58}{space 4}-2.883243{col 71}{space 3} .7263098
{txt}{space 11}lnpop {c |}{col 18}{res}{space 2} .9955837{col 30}{space 2} .0680504{col 41}{space 1}   14.63{col 50}{space 3}0.000{col 58}{space 4} .8622074{col 71}{space 3}  1.12896
{txt}{space 10}gdpcap {c |}{col 18}{res}{space 2}-.1129027{col 30}{space 2} .0200566{col 41}{space 1}   -5.63{col 50}{space 3}0.000{col 58}{space 4}-.1522129{col 71}{space 3}-.0735925
{txt}{space 13}gy1 {c |}{col 18}{res}{space 2} .0524331{col 30}{space 2} .0416597{col 41}{space 1}    1.26{col 50}{space 3}0.208{col 58}{space 4}-.0292184{col 71}{space 3} .1340847
{txt}{space 9}civ_lib {c |}{col 18}{res}{space 2} .4177308{col 30}{space 2}  .139054{col 41}{space 1}    3.00{col 50}{space 3}0.003{col 58}{space 4}   .14519{col 71}{space 3} .6902716
{txt}{space 7}polconiii {c |}{col 18}{res}{space 2} .2287586{col 30}{space 2} .5789413{col 41}{space 1}    0.40{col 50}{space 3}0.693{col 58}{space 4}-.9059455{col 71}{space 3} 1.363463
{txt}{space 9}polity2 {c |}{col 18}{res}{space 2}-.1372793{col 30}{space 2} .0932983{col 41}{space 1}   -1.47{col 50}{space 3}0.141{col 58}{space 4}-.3201406{col 71}{space 3}  .045582
{txt}{space 10}lagmid {c |}{col 18}{res}{space 2}-.0550902{col 30}{space 2}  .148095{col 41}{space 1}   -0.37{col 50}{space 3}0.710{col 58}{space 4}-.3453511{col 71}{space 3} .2351707
{txt}{space 9}lagterr {c |}{col 18}{res}{space 2} .0093685{col 30}{space 2} .0015101{col 41}{space 1}    6.20{col 50}{space 3}0.000{col 58}{space 4} .0064089{col 71}{space 3} .0123282
{txt}{space 16} {c |}
{space 10}region {c |}
{space 14}2  {c |}{col 18}{res}{space 2} -27.9405{col 30}{space 2} .3996741{col 41}{space 1}  -69.91{col 50}{space 3}0.000{col 58}{space 4}-28.72385{col 71}{space 3}-27.15715
{txt}{space 14}5  {c |}{col 18}{res}{space 2} .4239603{col 30}{space 2} .4009149{col 41}{space 1}    1.06{col 50}{space 3}0.290{col 58}{space 4}-.3618185{col 71}{space 3} 1.209739
{txt}{space 14}7  {c |}{col 18}{res}{space 2} -1.34972{col 30}{space 2} .2789328{col 41}{space 1}   -4.84{col 50}{space 3}0.000{col 58}{space 4}-1.896418{col 71}{space 3}-.8030214
{txt}{space 16} {c |}
{space 10}decade {c |}
{space 12}198  {c |}{col 18}{res}{space 2}  -.10294{col 30}{space 2} .2010969{col 41}{space 1}   -0.51{col 50}{space 3}0.609{col 58}{space 4}-.4970826{col 71}{space 3} .2912026
{txt}{space 12}199  {c |}{col 18}{res}{space 2}-.5031463{col 30}{space 2} .2195587{col 41}{space 1}   -2.29{col 50}{space 3}0.022{col 58}{space 4}-.9334734{col 71}{space 3}-.0728192
{txt}{space 12}200  {c |}{col 18}{res}{space 2}-.9029752{col 30}{space 2} .2773753{col 41}{space 1}   -3.26{col 50}{space 3}0.001{col 58}{space 4}-1.446621{col 71}{space 3}-.3593296
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-11.98399{col 30}{space 2} 1.640427{col 41}{space 1}   -7.31{col 50}{space 3}0.000{col 58}{space 4}-15.19917{col 71}{space 3}-8.768813
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}/lnalpha {c |}{col 18}{res}{space 2} .9427576{col 30}{space 2} .0595652{col 58}{space 4}  .826012{col 71}{space 3} 1.059503
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           alpha {c |}{col 18}{res}{space 2} 2.567051{col 30}{space 2} .1529068{col 58}{space 4} 2.284191{col 71}{space 3} 2.884937
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 pol_soe polsoe_emp empowerscore3 turaldisastersoe $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-86477.731}  
Iteration 1:{space 3}log pseudolikelihood = {res:-64515.955}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48027.233}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11016.935}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9091.1199}  
Iteration 5:{space 3}log pseudolikelihood = {res:-8732.0994}  
Iteration 6:{space 3}log pseudolikelihood = {res:-8662.0324}  
Iteration 7:{space 3}log pseudolikelihood = {res:-8647.3795}  
Iteration 8:{space 3}log pseudolikelihood = {res: -8645.695}  
Iteration 9:{space 3}log pseudolikelihood = {res:-8645.5865}  
Iteration 10:{space 2}log pseudolikelihood = {res:-8645.5849}  
Iteration 11:{space 2}log pseudolikelihood = {res:-8645.5846}  
Iteration 12:{space 2}log pseudolikelihood = {res:-8645.5845}  
Iteration 13:{space 2}log pseudolikelihood = {res:-8645.5845}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4045.4845}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2177.6366}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2174.5902}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2174.5823}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2174.5823}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2148.1212}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1998.0436}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1894.5417}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1844.4161}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1832.9514}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1832.9448}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1832.9448}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       996
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}   1437.60
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1832.9448{txt}{col 49}Pseudo R2{col 67}= {res}    0.1571

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}             f_3{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}pol_soe {c |}{col 18}{res}{space 2} .0731567{col 30}{space 2} .6318727{col 41}{space 1}    0.12{col 50}{space 3}0.908{col 58}{space 4}-1.165291{col 71}{space 3} 1.311604
{txt}{space 6}polsoe_emp {c |}{col 18}{res}{space 2} .8762756{col 30}{space 2} .4184263{col 41}{space 1}    2.09{col 50}{space 3}0.036{col 58}{space 4} .0561751{col 71}{space 3} 1.696376
{txt}{space 3}empowerscore3 {c |}{col 18}{res}{space 2} .3929253{col 30}{space 2} .1130369{col 41}{space 1}    3.48{col 50}{space 3}0.001{col 58}{space 4}  .171377{col 71}{space 3} .6144737
{txt}turaldisastersoe {c |}{col 18}{res}{space 2}-4.742252{col 30}{space 2}  .750649{col 41}{space 1}   -6.32{col 50}{space 3}0.000{col 58}{space 4}-6.213497{col 71}{space 3}-3.271007
{txt}{space 11}lnpop {c |}{col 18}{res}{space 2} .8981805{col 30}{space 2} .0797784{col 41}{space 1}   11.26{col 50}{space 3}0.000{col 58}{space 4} .7418177{col 71}{space 3} 1.054543
{txt}{space 10}gdpcap {c |}{col 18}{res}{space 2}-.0425857{col 30}{space 2} .0229919{col 41}{space 1}   -1.85{col 50}{space 3}0.064{col 58}{space 4}-.0876491{col 71}{space 3} .0024777
{txt}{space 13}gy1 {c |}{col 18}{res}{space 2} .5278998{col 30}{space 2}  .078329{col 41}{space 1}    6.74{col 50}{space 3}0.000{col 58}{space 4} .3743777{col 71}{space 3} .6814219
{txt}{space 9}civ_lib {c |}{col 18}{res}{space 2} .0020211{col 30}{space 2}  .218907{col 41}{space 1}    0.01{col 50}{space 3}0.993{col 58}{space 4}-.4270286{col 71}{space 3} .4310709
{txt}{space 7}polconiii {c |}{col 18}{res}{space 2}-1.882394{col 30}{space 2} .7575967{col 41}{space 1}   -2.48{col 50}{space 3}0.013{col 58}{space 4}-3.367256{col 71}{space 3}-.3975314
{txt}{space 9}polity2 {c |}{col 18}{res}{space 2} .1339924{col 30}{space 2} .1748892{col 41}{space 1}    0.77{col 50}{space 3}0.444{col 58}{space 4}-.2087841{col 71}{space 3} .4767689
{txt}{space 10}lagmid {c |}{col 18}{res}{space 2} -.075656{col 30}{space 2} .1563336{col 41}{space 1}   -0.48{col 50}{space 3}0.628{col 58}{space 4}-.3820642{col 71}{space 3} .2307522
{txt}{space 9}lagterr {c |}{col 18}{res}{space 2} .0059304{col 30}{space 2}  .001094{col 41}{space 1}    5.42{col 50}{space 3}0.000{col 58}{space 4} .0037861{col 71}{space 3} .0080746
{txt}{space 16} {c |}
{space 10}region {c |}
{space 14}2  {c |}{col 18}{res}{space 2}-20.46737{col 30}{space 2} .9666176{col 41}{space 1}  -21.17{col 50}{space 3}0.000{col 58}{space 4} -22.3619{col 71}{space 3}-18.57283
{txt}{space 14}5  {c |}{col 18}{res}{space 2} 2.551707{col 30}{space 2} .3769567{col 41}{space 1}    6.77{col 50}{space 3}0.000{col 58}{space 4} 1.812885{col 71}{space 3} 3.290528
{txt}{space 14}7  {c |}{col 18}{res}{space 2} -2.09886{col 30}{space 2} .4700589{col 41}{space 1}   -4.47{col 50}{space 3}0.000{col 58}{space 4}-3.020158{col 71}{space 3}-1.177561
{txt}{space 16} {c |}
{space 10}decade {c |}
{space 12}198  {c |}{col 18}{res}{space 2} .0493152{col 30}{space 2} .1862633{col 41}{space 1}    0.26{col 50}{space 3}0.791{col 58}{space 4}-.3157542{col 71}{space 3} .4143846
{txt}{space 12}199  {c |}{col 18}{res}{space 2}-.1133386{col 30}{space 2} .3172899{col 41}{space 1}   -0.36{col 50}{space 3}0.721{col 58}{space 4}-.7352154{col 71}{space 3} .5085381
{txt}{space 12}200  {c |}{col 18}{res}{space 2}-.9195031{col 30}{space 2} .3635387{col 41}{space 1}   -2.53{col 50}{space 3}0.011{col 58}{space 4}-1.632026{col 71}{space 3}-.2069804
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-15.05441{col 30}{space 2} 2.693588{col 41}{space 1}   -5.59{col 50}{space 3}0.000{col 58}{space 4}-20.33374{col 71}{space 3}-9.775074
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}/lnalpha {c |}{col 18}{res}{space 2} 1.221119{col 30}{space 2} .0901958{col 58}{space 4} 1.044338{col 71}{space 3} 1.397899
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           alpha {c |}{col 18}{res}{space 2}  3.39098{col 30}{space 2} .3058521{col 58}{space 4} 2.841518{col 71}{space 3} 4.046691
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 pol_soe polsoe_emp empowerscore3 turaldisastersoe $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}       996
                                                {txt}F(18, 977)        =  {res}    59.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6443
                                                {txt}Root MSE          =    {res} 1.2562

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     ln_fatal_d3{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}pol_soe {c |}{col 18}{res}{space 2} .8630598{col 30}{space 2} .2675251{col 41}{space 1}    3.23{col 50}{space 3}0.001{col 58}{space 4} .3380699{col 71}{space 3}  1.38805
{txt}{space 6}polsoe_emp {c |}{col 18}{res}{space 2} -.467482{col 30}{space 2} .2156336{col 41}{space 1}   -2.17{col 50}{space 3}0.030{col 58}{space 4}-.8906404{col 71}{space 3}-.0443235
{txt}{space 3}empowerscore3 {c |}{col 18}{res}{space 2}  .131772{col 30}{space 2} .0425002{col 41}{space 1}    3.10{col 50}{space 3}0.002{col 58}{space 4} .0483699{col 71}{space 3} .2151741
{txt}turaldisastersoe {c |}{col 18}{res}{space 2}-1.110406{col 30}{space 2} .7138892{col 41}{space 1}   -1.56{col 50}{space 3}0.120{col 58}{space 4}-2.511338{col 71}{space 3} .2905271
{txt}{space 11}lnpop {c |}{col 18}{res}{space 2} .3613299{col 30}{space 2} .0417851{col 41}{space 1}    8.65{col 50}{space 3}0.000{col 58}{space 4}  .279331{col 71}{space 3} .4433288
{txt}{space 10}gdpcap {c |}{col 18}{res}{space 2}-.0406747{col 30}{space 2} .0106706{col 41}{space 1}   -3.81{col 50}{space 3}0.000{col 58}{space 4}-.0616145{col 71}{space 3}-.0197348
{txt}{space 13}gy1 {c |}{col 18}{res}{space 2} .0498599{col 30}{space 2} .0243876{col 41}{space 1}    2.04{col 50}{space 3}0.041{col 58}{space 4} .0020019{col 71}{space 3}  .097718
{txt}{space 9}civ_lib {c |}{col 18}{res}{space 2} .4085123{col 30}{space 2} .0916015{col 41}{space 1}    4.46{col 50}{space 3}0.000{col 58}{space 4}  .228754{col 71}{space 3} .5882706
{txt}{space 7}polconiii {c |}{col 18}{res}{space 2}-.2766642{col 30}{space 2} .3235209{col 41}{space 1}   -0.86{col 50}{space 3}0.393{col 58}{space 4}-.9115399{col 71}{space 3} .3582116
{txt}{space 9}polity2 {c |}{col 18}{res}{space 2}-.0167174{col 30}{space 2} .0647766{col 41}{space 1}   -0.26{col 50}{space 3}0.796{col 58}{space 4}-.1438346{col 71}{space 3} .1103999
{txt}{space 10}lagmid {c |}{col 18}{res}{space 2} .0383425{col 30}{space 2} .1046073{col 41}{space 1}    0.37{col 50}{space 3}0.714{col 58}{space 4}-.1669384{col 71}{space 3} .2436235
{txt}{space 9}lagterr {c |}{col 18}{res}{space 2} .0113711{col 30}{space 2} .0010621{col 41}{space 1}   10.71{col 50}{space 3}0.000{col 58}{space 4} .0092869{col 71}{space 3} .0134554
{txt}{space 16} {c |}
{space 10}region {c |}
{space 14}2  {c |}{col 18}{res}{space 2}-.7005185{col 30}{space 2} .2120559{col 41}{space 1}   -3.30{col 50}{space 3}0.001{col 58}{space 4}-1.116656{col 71}{space 3}-.2843811
{txt}{space 14}5  {c |}{col 18}{res}{space 2} 1.234149{col 30}{space 2} .2767983{col 41}{space 1}    4.46{col 50}{space 3}0.000{col 58}{space 4} .6909615{col 71}{space 3} 1.777337
{txt}{space 14}7  {c |}{col 18}{res}{space 2}-.1849935{col 30}{space 2} .1911215{col 41}{space 1}   -0.97{col 50}{space 3}0.333{col 58}{space 4}-.5600494{col 71}{space 3} .1900625
{txt}{space 16} {c |}
{space 10}decade {c |}
{space 12}198  {c |}{col 18}{res}{space 2}-.0894363{col 30}{space 2} .1499176{col 41}{space 1}   -0.60{col 50}{space 3}0.551{col 58}{space 4}-.3836338{col 71}{space 3} .2047612
{txt}{space 12}199  {c |}{col 18}{res}{space 2}-.8372117{col 30}{space 2} .1529944{col 41}{space 1}   -5.47{col 50}{space 3}0.000{col 58}{space 4}-1.137447{col 71}{space 3}-.5369762
{txt}{space 12}200  {c |}{col 18}{res}{space 2}-.8327034{col 30}{space 2} .1693694{col 41}{space 1}   -4.92{col 50}{space 3}0.000{col 58}{space 4}-1.165073{col 71}{space 3}-.5003336
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-4.581422{col 30}{space 2} 1.067866{col 41}{space 1}   -4.29{col 50}{space 3}0.000{col 58}{space 4}-6.676996{col 71}{space 3}-2.485848
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 pol_soe polsoe_emp empowerscore3 turaldisastersoe $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}       996
                                                {txt}F(18, 977)        =  {res}    65.88
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6519
                                                {txt}Root MSE          =    {res} 1.0142

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     ln_fatal_f3{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}pol_soe {c |}{col 18}{res}{space 2}-.2791565{col 30}{space 2} .1632977{col 41}{space 1}   -1.71{col 50}{space 3}0.088{col 58}{space 4}-.5996111{col 71}{space 3} .0412981
{txt}{space 6}polsoe_emp {c |}{col 18}{res}{space 2} .9221788{col 30}{space 2}  .165393{col 41}{space 1}    5.58{col 50}{space 3}0.000{col 58}{space 4} .5976123{col 71}{space 3} 1.246745
{txt}{space 3}empowerscore3 {c |}{col 18}{res}{space 2} .2115904{col 30}{space 2} .0396445{col 41}{space 1}    5.34{col 50}{space 3}0.000{col 58}{space 4} .1337922{col 71}{space 3} .2893886
{txt}turaldisastersoe {c |}{col 18}{res}{space 2}-.8143519{col 30}{space 2} .2734037{col 41}{space 1}   -2.98{col 50}{space 3}0.003{col 58}{space 4}-1.350878{col 71}{space 3}-.2778258
{txt}{space 11}lnpop {c |}{col 18}{res}{space 2} .2394052{col 30}{space 2} .0311449{col 41}{space 1}    7.69{col 50}{space 3}0.000{col 58}{space 4} .1782865{col 71}{space 3} .3005238
{txt}{space 10}gdpcap {c |}{col 18}{res}{space 2}-.0653008{col 30}{space 2} .0095355{col 41}{space 1}   -6.85{col 50}{space 3}0.000{col 58}{space 4}-.0840133{col 71}{space 3}-.0465884
{txt}{space 13}gy1 {c |}{col 18}{res}{space 2} .0239645{col 30}{space 2} .0175467{col 41}{space 1}    1.37{col 50}{space 3}0.172{col 58}{space 4} -.010469{col 71}{space 3} .0583981
{txt}{space 9}civ_lib {c |}{col 18}{res}{space 2}-.1040135{col 30}{space 2} .0631766{col 41}{space 1}   -1.65{col 50}{space 3}0.100{col 58}{space 4}-.2279911{col 71}{space 3}  .019964
{txt}{space 7}polconiii {c |}{col 18}{res}{space 2}-.6549817{col 30}{space 2} .2189494{col 41}{space 1}   -2.99{col 50}{space 3}0.003{col 58}{space 4}-1.084647{col 71}{space 3}-.2253164
{txt}{space 9}polity2 {c |}{col 18}{res}{space 2} .1276727{col 30}{space 2} .0448454{col 41}{space 1}    2.85{col 50}{space 3}0.005{col 58}{space 4} .0396682{col 71}{space 3} .2156772
{txt}{space 10}lagmid {c |}{col 18}{res}{space 2}-.0414836{col 30}{space 2} .0851922{col 41}{space 1}   -0.49{col 50}{space 3}0.626{col 58}{space 4}-.2086644{col 71}{space 3} .1256972
{txt}{space 9}lagterr {c |}{col 18}{res}{space 2} .0050514{col 30}{space 2} .0007951{col 41}{space 1}    6.35{col 50}{space 3}0.000{col 58}{space 4}  .003491{col 71}{space 3} .0066118
{txt}{space 16} {c |}
{space 10}region {c |}
{space 14}2  {c |}{col 18}{res}{space 2}-1.017587{col 30}{space 2} .1693268{col 41}{space 1}   -6.01{col 50}{space 3}0.000{col 58}{space 4}-1.349873{col 71}{space 3}-.6853011
{txt}{space 14}5  {c |}{col 18}{res}{space 2} 2.930342{col 30}{space 2} .2253079{col 41}{space 1}   13.01{col 50}{space 3}0.000{col 58}{space 4} 2.488199{col 71}{space 3} 3.372485
{txt}{space 14}7  {c |}{col 18}{res}{space 2} -1.21685{col 30}{space 2} .1546052{col 41}{space 1}   -7.87{col 50}{space 3}0.000{col 58}{space 4}-1.520247{col 71}{space 3}-.9134538
{txt}{space 16} {c |}
{space 10}decade {c |}
{space 12}198  {c |}{col 18}{res}{space 2} .1808109{col 30}{space 2} .1325322{col 41}{space 1}    1.36{col 50}{space 3}0.173{col 58}{space 4}-.0792695{col 71}{space 3} .4408914
{txt}{space 12}199  {c |}{col 18}{res}{space 2}-.0515505{col 30}{space 2} .1225315{col 41}{space 1}   -0.42{col 50}{space 3}0.674{col 58}{space 4}-.2920057{col 71}{space 3} .1889048
{txt}{space 12}200  {c |}{col 18}{res}{space 2} .0343421{col 30}{space 2} .1278014{col 41}{space 1}    0.27{col 50}{space 3}0.788{col 58}{space 4}-.2164547{col 71}{space 3} .2851389
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-2.969604{col 30}{space 2} .7725087{col 41}{space 1}   -3.84{col 50}{space 3}0.000{col 58}{space 4}-4.485571{col 71}{space 3}-1.453637
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_main_nd.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(pol_soe polsoe_emp empowerscore3 turaldisastersoe $X  _cons) ///
>                 order(pol_soe polsoe_emp empowerscore3 turaldisastersoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_main_nd.tex"'})

{com}. eststo clear
{txt}
{com}. 
. 
. //Nonlinear Income
. 
. gen gdpcapsq=gdpcap*gdpcap
{txt}(3,742 missing values generated)

{com}. global X lnpop gdpcap gdpcapsq gy1 civ_lib polconiii polity2 lagmid lagterr 
{txt}
{com}. 
. label var gdpcapsq "GDP Per Capita (Squared)"
{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-380802.25}  
Iteration 1:{space 3}log pseudolikelihood = {res:-319114.75}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-205298.71}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-105826.73}  
Iteration 4:{space 3}log pseudolikelihood = {res:-73058.971}  
Iteration 5:{space 3}log pseudolikelihood = {res:-30135.932}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29109.472}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29084.962}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29084.893}  
Iteration 9:{space 3}log pseudolikelihood = {res:-29084.891}  
Iteration 10:{space 2}log pseudolikelihood = {res:-29084.891}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5334.0677}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3521.3623}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3521.3623}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3454.7759}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3244.5445}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3171.8037}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3068.3891}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3060.5719}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3060.5208}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3060.5208}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}  10091.59
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3060.5208{txt}{col 49}Pseudo R2{col 67}= {res}    0.1309

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .5882646{col 27}{space 2} .3166271{col 38}{space 1}    1.86{col 47}{space 3}0.063{col 55}{space 4}-.0323131{col 68}{space 3} 1.208842
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.5802301{col 27}{space 2} .2648238{col 38}{space 1}   -2.19{col 47}{space 3}0.028{col 55}{space 4}-1.099275{col 68}{space 3}-.0611851
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .2478848{col 27}{space 2} .0898411{col 38}{space 1}    2.76{col 47}{space 3}0.006{col 55}{space 4} .0717994{col 68}{space 3} .4239702
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} 1.022922{col 27}{space 2} .0657364{col 38}{space 1}   15.56{col 47}{space 3}0.000{col 55}{space 4} .8940809{col 68}{space 3} 1.151763
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.1384131{col 27}{space 2} .0548887{col 38}{space 1}   -2.52{col 47}{space 3}0.012{col 55}{space 4} -.245993{col 68}{space 3}-.0308332
{txt}{space 5}gdpcapsq {c |}{col 15}{res}{space 2} .0012413{col 27}{space 2} .0013755{col 38}{space 1}    0.90{col 47}{space 3}0.367{col 55}{space 4}-.0014546{col 68}{space 3} .0039373
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0234211{col 27}{space 2} .0422474{col 38}{space 1}    0.55{col 47}{space 3}0.579{col 55}{space 4}-.0593823{col 68}{space 3} .1062245
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .5005041{col 27}{space 2} .1361905{col 38}{space 1}    3.68{col 47}{space 3}0.000{col 55}{space 4} .2335757{col 68}{space 3} .7674326
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .2305679{col 27}{space 2} .5664773{col 38}{space 1}    0.41{col 47}{space 3}0.684{col 55}{space 4}-.8797072{col 68}{space 3} 1.340843
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0857523{col 27}{space 2} .0877679{col 38}{space 1}   -0.98{col 47}{space 3}0.329{col 55}{space 4}-.2577743{col 68}{space 3} .0862697
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0417045{col 27}{space 2}  .147342{col 38}{space 1}   -0.28{col 47}{space 3}0.777{col 55}{space 4}-.3304896{col 68}{space 3} .2470806
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0098817{col 27}{space 2} .0014076{col 38}{space 1}    7.02{col 47}{space 3}0.000{col 55}{space 4} .0071229{col 68}{space 3} .0126406
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-21.14977{col 27}{space 2} .4140172{col 38}{space 1}  -51.08{col 47}{space 3}0.000{col 55}{space 4}-21.96123{col 68}{space 3}-20.33832
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .7839716{col 27}{space 2} .3595346{col 38}{space 1}    2.18{col 47}{space 3}0.029{col 55}{space 4} .0792968{col 68}{space 3} 1.488646
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.323949{col 27}{space 2} .2985036{col 38}{space 1}   -4.44{col 47}{space 3}0.000{col 55}{space 4}-1.909006{col 68}{space 3}-.7388929
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1149221{col 27}{space 2} .1760939{col 38}{space 1}    0.65{col 47}{space 3}0.514{col 55}{space 4}-.2302155{col 68}{space 3} .4600598
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.4429211{col 27}{space 2} .1941127{col 38}{space 1}   -2.28{col 47}{space 3}0.023{col 55}{space 4} -.823375{col 68}{space 3}-.0624672
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.087989{col 27}{space 2} .2505134{col 38}{space 1}   -4.34{col 47}{space 3}0.000{col 55}{space 4}-1.578986{col 68}{space 3}-.5969912
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}  -13.071{col 27}{space 2} 1.604801{col 38}{space 1}   -8.14{col 47}{space 3}0.000{col 55}{space 4}-16.21635{col 68}{space 3}-9.925646
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.023555{col 27}{space 2} .0565824{col 55}{space 4} .9126556{col 68}{space 3} 1.134455
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.783071{col 27}{space 2} .1574729{col 55}{space 4} 2.490929{col 68}{space 3} 3.109477
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-100580.61}  
Iteration 1:{space 3}log pseudolikelihood = {res:-57194.718}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-45555.715}  
Iteration 3:{space 3}log pseudolikelihood = {res:-11426.789}  
Iteration 4:{space 3}log pseudolikelihood = {res:-9254.4038}  
Iteration 5:{space 3}log pseudolikelihood = {res:-9197.4552}  
Iteration 6:{space 3}log pseudolikelihood = {res:-9197.0528}  
Iteration 7:{space 3}log pseudolikelihood = {res:-9197.0237}  
Iteration 8:{space 3}log pseudolikelihood = {res:-9197.0232}  
Iteration 9:{space 3}log pseudolikelihood = {res:-9197.0231}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9197.0231}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4519.9968}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2391.9832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2387.9438}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2387.9311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2387.9311}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2364.7172}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -2207.085}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2087.4586}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2035.4831}  
Iteration 4:{space 3}log pseudolikelihood = {res: -2023.298}  
Iteration 5:{space 3}log pseudolikelihood = {res: -2023.295}  
Iteration 6:{space 3}log pseudolikelihood = {res: -2023.295}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}   1540.33
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -2023.295{txt}{col 49}Pseudo R2{col 67}= {res}    0.1527

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.5544558{col 27}{space 2} .4897287{col 38}{space 1}   -1.13{col 47}{space 3}0.258{col 55}{space 4}-1.514306{col 68}{space 3} .4053948
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.246051{col 27}{space 2} .3104881{col 38}{space 1}    4.01{col 47}{space 3}0.000{col 55}{space 4} .6375055{col 68}{space 3} 1.854596
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .3528147{col 27}{space 2} .1103636{col 38}{space 1}    3.20{col 47}{space 3}0.001{col 55}{space 4}  .136506{col 68}{space 3} .5691235
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .8580533{col 27}{space 2} .0764727{col 38}{space 1}   11.22{col 47}{space 3}0.000{col 55}{space 4} .7081696{col 68}{space 3} 1.007937
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0576411{col 27}{space 2} .0804416{col 38}{space 1}   -0.72{col 47}{space 3}0.474{col 55}{space 4}-.2153036{col 68}{space 3} .1000215
{txt}{space 5}gdpcapsq {c |}{col 15}{res}{space 2} .0010406{col 27}{space 2} .0023359{col 38}{space 1}    0.45{col 47}{space 3}0.656{col 55}{space 4}-.0035377{col 68}{space 3} .0056188
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .5056302{col 27}{space 2} .0770016{col 38}{space 1}    6.57{col 47}{space 3}0.000{col 55}{space 4} .3547099{col 68}{space 3} .6565505
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0474905{col 27}{space 2} .2103945{col 38}{space 1}    0.23{col 47}{space 3}0.821{col 55}{space 4}-.3648751{col 68}{space 3} .4598561
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} -1.79193{col 27}{space 2} .7563298{col 38}{space 1}   -2.37{col 47}{space 3}0.018{col 55}{space 4}-3.274309{col 68}{space 3}-.3095511
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0889126{col 27}{space 2} .1567263{col 38}{space 1}    0.57{col 47}{space 3}0.571{col 55}{space 4}-.2182652{col 68}{space 3} .3960904
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0253439{col 27}{space 2} .1548848{col 38}{space 1}    0.16{col 47}{space 3}0.870{col 55}{space 4}-.2782246{col 68}{space 3} .3289125
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0067899{col 27}{space 2} .0010807{col 38}{space 1}    6.28{col 47}{space 3}0.000{col 55}{space 4} .0046717{col 68}{space 3} .0089081
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-21.00571{col 27}{space 2} .9318783{col 38}{space 1}  -22.54{col 47}{space 3}0.000{col 55}{space 4}-22.83216{col 68}{space 3}-19.17927
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 2.793636{col 27}{space 2} .3455602{col 38}{space 1}    8.08{col 47}{space 3}0.000{col 55}{space 4} 2.116351{col 68}{space 3} 3.470922
{txt}{space 11}7  {c |}{col 15}{res}{space 2} -2.00226{col 27}{space 2} .4351114{col 38}{space 1}   -4.60{col 47}{space 3}0.000{col 55}{space 4}-2.855063{col 68}{space 3}-1.149457
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2}  .003484{col 27}{space 2} .1626193{col 38}{space 1}    0.02{col 47}{space 3}0.983{col 55}{space 4} -.315244{col 68}{space 3} .3222119
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.2225232{col 27}{space 2} .3148889{col 38}{space 1}   -0.71{col 47}{space 3}0.480{col 55}{space 4}-.8396941{col 68}{space 3} .3946477
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.254606{col 27}{space 2} .3733112{col 38}{space 1}   -3.36{col 47}{space 3}0.001{col 55}{space 4}-1.986282{col 68}{space 3}-.5229297
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-14.06494{col 27}{space 2} 2.506992{col 38}{space 1}   -5.61{col 47}{space 3}0.000{col 55}{space 4}-18.97856{col 68}{space 3}-9.151329
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.299732{col 27}{space 2} .0875623{col 55}{space 4} 1.128113{col 68}{space 3} 1.471351
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 3.668314{col 27}{space 2} .3212058{col 55}{space 4} 3.089821{col 68}{space 3} 4.355115
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(18, 1109)       =  {res}    59.30
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6167
                                                {txt}Root MSE          =    {res}   1.26

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .1963171{col 27}{space 2} .1613685{col 38}{space 1}    1.22{col 47}{space 3}0.224{col 55}{space 4} -.120305{col 68}{space 3} .5129392
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} -.117532{col 27}{space 2} .1514795{col 38}{space 1}   -0.78{col 47}{space 3}0.438{col 55}{space 4}-.4147507{col 68}{space 3} .1796867
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1367344{col 27}{space 2}  .039967{col 38}{space 1}    3.42{col 47}{space 3}0.001{col 55}{space 4} .0583149{col 68}{space 3} .2151538
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .3135435{col 27}{space 2} .0364159{col 38}{space 1}    8.61{col 47}{space 3}0.000{col 55}{space 4} .2420917{col 68}{space 3} .3849954
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0847713{col 27}{space 2} .0275849{col 38}{space 1}   -3.07{col 47}{space 3}0.002{col 55}{space 4}-.1388957{col 68}{space 3}-.0306468
{txt}{space 5}gdpcapsq {c |}{col 15}{res}{space 2} .0015128{col 27}{space 2} .0006965{col 38}{space 1}    2.17{col 47}{space 3}0.030{col 55}{space 4} .0001462{col 68}{space 3} .0028795
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0302341{col 27}{space 2} .0233336{col 38}{space 1}    1.30{col 47}{space 3}0.195{col 55}{space 4}-.0155489{col 68}{space 3} .0760171
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3670034{col 27}{space 2} .0883648{col 38}{space 1}    4.15{col 47}{space 3}0.000{col 55}{space 4} .1936224{col 68}{space 3} .5403844
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.2204613{col 27}{space 2}   .30705{col 38}{space 1}   -0.72{col 47}{space 3}0.473{col 55}{space 4}-.8229259{col 68}{space 3} .3820032
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0310779{col 27}{space 2} .0619798{col 38}{space 1}   -0.50{col 47}{space 3}0.616{col 55}{space 4}-.1526888{col 68}{space 3}  .090533
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0687972{col 27}{space 2} .0972563{col 38}{space 1}    0.71{col 47}{space 3}0.479{col 55}{space 4}  -.12203{col 68}{space 3} .2596243
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2}   .01189{col 27}{space 2} .0010369{col 38}{space 1}   11.47{col 47}{space 3}0.000{col 55}{space 4} .0098556{col 68}{space 3} .0139244
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.6923716{col 27}{space 2}  .197141{col 38}{space 1}   -3.51{col 47}{space 3}0.000{col 55}{space 4}-1.079183{col 68}{space 3}-.3055601
{txt}{space 11}5  {c |}{col 15}{res}{space 2}  1.52164{col 27}{space 2} .2446993{col 38}{space 1}    6.22{col 47}{space 3}0.000{col 55}{space 4} 1.041514{col 68}{space 3} 2.001766
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.2940379{col 27}{space 2} .1702685{col 38}{space 1}   -1.73{col 47}{space 3}0.084{col 55}{space 4}-.6281226{col 68}{space 3} .0400467
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1382547{col 27}{space 2} .1293499{col 38}{space 1}    1.07{col 47}{space 3}0.285{col 55}{space 4}-.1155435{col 68}{space 3}  .392053
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.6972847{col 27}{space 2} .1353714{col 38}{space 1}   -5.15{col 47}{space 3}0.000{col 55}{space 4}-.9628975{col 68}{space 3}-.4316718
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.8442008{col 27}{space 2} .1551703{col 38}{space 1}   -5.44{col 47}{space 3}0.000{col 55}{space 4}-1.148661{col 68}{space 3}-.5397402
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.490788{col 27}{space 2} .9991185{col 38}{space 1}   -3.49{col 47}{space 3}0.000{col 55}{space 4}-5.451164{col 68}{space 3}-1.530412
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,128
                                                {txt}F(18, 1109)       =  {res}    73.48
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6465
                                                {txt}Root MSE          =    {res} .99577

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} -.173265{col 27}{space 2} .1011092{col 38}{space 1}   -1.71{col 47}{space 3}0.087{col 55}{space 4}-.3716519{col 68}{space 3} .0251218
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .7517655{col 27}{space 2} .1252406{col 38}{space 1}    6.00{col 47}{space 3}0.000{col 55}{space 4} .5060303{col 68}{space 3} .9975006
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1998382{col 27}{space 2} .0367288{col 38}{space 1}    5.44{col 47}{space 3}0.000{col 55}{space 4} .1277725{col 68}{space 3} .2719039
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .2025634{col 27}{space 2} .0274203{col 38}{space 1}    7.39{col 47}{space 3}0.000{col 55}{space 4} .1487618{col 68}{space 3} .2563649
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}  -.03823{col 27}{space 2} .0195596{col 38}{space 1}   -1.95{col 47}{space 3}0.051{col 55}{space 4} -.076608{col 68}{space 3} .0001479
{txt}{space 5}gdpcapsq {c |}{col 15}{res}{space 2}-.0004499{col 27}{space 2} .0004826{col 38}{space 1}   -0.93{col 47}{space 3}0.351{col 55}{space 4}-.0013968{col 68}{space 3}  .000497
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0169638{col 27}{space 2} .0161419{col 38}{space 1}    1.05{col 47}{space 3}0.294{col 55}{space 4}-.0147084{col 68}{space 3} .0486359
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.0829723{col 27}{space 2} .0592404{col 38}{space 1}   -1.40{col 47}{space 3}0.162{col 55}{space 4}-.1992082{col 68}{space 3} .0332635
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.8013558{col 27}{space 2} .2071411{col 38}{space 1}   -3.87{col 47}{space 3}0.000{col 55}{space 4}-1.207788{col 68}{space 3}-.3949232
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0981336{col 27}{space 2} .0410689{col 38}{space 1}    2.39{col 47}{space 3}0.017{col 55}{space 4} .0175521{col 68}{space 3} .1787151
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0423975{col 27}{space 2} .0771373{col 38}{space 1}   -0.55{col 47}{space 3}0.583{col 55}{space 4}-.1937491{col 68}{space 3} .1089541
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0052529{col 27}{space 2}  .000793{col 38}{space 1}    6.62{col 47}{space 3}0.000{col 55}{space 4}  .003697{col 68}{space 3} .0068087
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.8052343{col 27}{space 2} .1522168{col 38}{space 1}   -5.29{col 47}{space 3}0.000{col 55}{space 4}  -1.1039{col 68}{space 3}-.5065689
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.093316{col 27}{space 2} .2009663{col 38}{space 1}   15.39{col 47}{space 3}0.000{col 55}{space 4} 2.698999{col 68}{space 3} 3.487633
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.128644{col 27}{space 2} .1339456{col 38}{space 1}   -8.43{col 47}{space 3}0.000{col 55}{space 4}-1.391459{col 68}{space 3}-.8658286
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1922876{col 27}{space 2} .1101129{col 38}{space 1}    1.75{col 47}{space 3}0.081{col 55}{space 4}-.0237654{col 68}{space 3} .4083406
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0867121{col 27}{space 2} .0958659{col 38}{space 1}   -0.90{col 47}{space 3}0.366{col 55}{space 4} -.274811{col 68}{space 3} .1013868
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0441158{col 27}{space 2} .1030384{col 38}{space 1}   -0.43{col 47}{space 3}0.669{col 55}{space 4} -.246288{col 68}{space 3} .1580563
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} -2.35894{col 27}{space 2} .6824928{col 38}{space 1}   -3.46{col 47}{space 3}0.001{col 55}{space 4}-3.698063{col 68}{space 3}-1.019818
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_main_gdp.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_main_gdp.tex"'})

{com}. eststo clear
{txt}
{com}. 
. 
. //Religious
. 
. drop _merge
{txt}
{com}. sort country year
{txt}
{com}. merge  country year using "/Users/brooney/Documents/Pubs/Terror Paper/islam_fatal.dta"
{txt}{p}
(note: you are using old
{bf:merge} syntax; see
{bf:{help merge:[D] merge}} for new syntax)
{p_end}
{p 0 4 2}
variable{txt}s{txt} country
year
do not uniquely identify observations in
the master data
{p_end}

{com}. 
. replace is_fatal=0 if is_fatal==. & year>=1970
{txt}(4,283 real changes made)

{com}. 
. sort ccode year
{txt}
{com}. bysort ccode : gen isf_lp1=is_fatal[_n+1]
{txt}(1,698 missing values generated)

{com}. 
. sort ccode year
{txt}
{com}. bysort ccode : gen isf_lp2=is_fatal[_n+2]
{txt}(1,783 missing values generated)

{com}. 
. sort ccode year
{txt}
{com}. bysort ccode : gen isf_lp3=is_fatal[_n+3]
{txt}(1,868 missing values generated)

{com}. 
. sort ccode year
{txt}
{com}. bysort ccode : gen isf_lp4=is_fatal[_n+4]
{txt}(1,953 missing values generated)

{com}. 
. gen isf_3=.
{txt}(6,564 missing values generated)

{com}. replace isf_3=isf_lp1+ isf_lp2 +isf_lp3 if isf_lp1!=. & isf_lp2!=. & isf_lp3!=.
{txt}(4,615 real changes made)

{com}. gen ln_isf_3=asinh(isf_3)
{txt}(1,949 missing values generated)

{com}. 
. 
. gen islam_rel=0
{txt}
{com}. replace islam_rel=1 if country=="Pakistan"
{txt}(34 real changes made)

{com}. replace islam_rel=1 if country=="Malaysia"
{txt}(23 real changes made)

{com}. replace islam_rel=1 if country=="Bangladesh"
{txt}(27 real changes made)

{com}. replace islam_rel=1 if country=="Comoros"
{txt}(9 real changes made)

{com}. 
. eststo clear
{txt}
{com}. 
. eststo: nbreg is_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade if islam_rel==0, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5561.4299}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2713.4606}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-2612.3883}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-1753.0846}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1103.5485}  
Iteration 5:{space 3}log pseudolikelihood = {res:-938.05279}  
Iteration 6:{space 3}log pseudolikelihood = {res:-930.53938}  
Iteration 7:{space 3}log pseudolikelihood = {res:-930.43964}  
Iteration 8:{space 3}log pseudolikelihood = {res: -930.4396}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1660.4997}  
Iteration 1:{space 3}log pseudolikelihood = {res:-792.61647}  
Iteration 2:{space 3}log pseudolikelihood = {res:-789.39318}  
Iteration 3:{space 3}log pseudolikelihood = {res:-789.36798}  
Iteration 4:{space 3}log pseudolikelihood = {res:-789.36798}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-776.71801}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-717.05067}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-668.97224}  
Iteration 3:{space 3}log pseudolikelihood = {res:-606.29799}  
Iteration 4:{space 3}log pseudolikelihood = {res:-591.10207}  
Iteration 5:{space 3}log pseudolikelihood = {res:-589.61115}  
Iteration 6:{space 3}log pseudolikelihood = {res:-589.60693}  
Iteration 7:{space 3}log pseudolikelihood = {res:-589.60693}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,128
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}  10078.66
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-589.60693{txt}{col 49}Pseudo R2{col 67}= {res}    0.2531

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}         is_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .1753609{col 27}{space 2} .3121691{col 38}{space 1}    0.56{col 47}{space 3}0.574{col 55}{space 4}-.4364793{col 68}{space 3} .7872011
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.0584033{col 27}{space 2} .2831231{col 38}{space 1}   -0.21{col 47}{space 3}0.837{col 55}{space 4}-.6133144{col 68}{space 3} .4965079
{txt}empowerscore3 {c |}{col 15}{res}{space 2}-.0454119{col 27}{space 2} .1223699{col 38}{space 1}   -0.37{col 47}{space 3}0.711{col 55}{space 4}-.2852526{col 68}{space 3} .1944287
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .4499829{col 27}{space 2} .0908986{col 38}{space 1}    4.95{col 47}{space 3}0.000{col 55}{space 4}  .271825{col 68}{space 3} .6281409
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2} .5610012{col 27}{space 2} .0812616{col 38}{space 1}    6.90{col 47}{space 3}0.000{col 55}{space 4} .4017313{col 68}{space 3} .7202711
{txt}{space 5}gdpcapsq {c |}{col 15}{res}{space 2}-.0125814{col 27}{space 2} .0023494{col 38}{space 1}   -5.36{col 47}{space 3}0.000{col 55}{space 4}-.0171862{col 68}{space 3}-.0079766
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0096978{col 27}{space 2} .0718239{col 38}{space 1}   -0.14{col 47}{space 3}0.893{col 55}{space 4}  -.15047{col 68}{space 3} .1310743
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.1628121{col 27}{space 2}  .214725{col 38}{space 1}   -0.76{col 47}{space 3}0.448{col 55}{space 4}-.5836653{col 68}{space 3} .2580411
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.670798{col 27}{space 2} .9806649{col 38}{space 1}   -1.70{col 47}{space 3}0.088{col 55}{space 4}-3.592866{col 68}{space 3} .2512695
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.7631967{col 27}{space 2} .1826784{col 38}{space 1}   -4.18{col 47}{space 3}0.000{col 55}{space 4} -1.12124{col 68}{space 3}-.4051536
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .2039163{col 27}{space 2} .2192675{col 38}{space 1}    0.93{col 47}{space 3}0.352{col 55}{space 4}-.2258401{col 68}{space 3} .6336726
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0049041{col 27}{space 2} .0011909{col 38}{space 1}    4.12{col 47}{space 3}0.000{col 55}{space 4} .0025701{col 68}{space 3} .0072382
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-19.95378{col 27}{space 2} .6116225{col 38}{space 1}  -32.62{col 47}{space 3}0.000{col 55}{space 4}-21.15254{col 68}{space 3}-18.75502
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 5.291622{col 27}{space 2} .4741932{col 38}{space 1}   11.16{col 47}{space 3}0.000{col 55}{space 4}  4.36222{col 68}{space 3} 6.221023
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.9134352{col 27}{space 2} .5880912{col 38}{space 1}   -1.55{col 47}{space 3}0.120{col 55}{space 4}-2.066073{col 68}{space 3} .2392024
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .8985031{col 27}{space 2} .2721474{col 38}{space 1}    3.30{col 47}{space 3}0.001{col 55}{space 4}  .365104{col 68}{space 3} 1.431902
{txt}{space 9}199  {c |}{col 15}{res}{space 2} .3786351{col 27}{space 2}  .357619{col 38}{space 1}    1.06{col 47}{space 3}0.290{col 55}{space 4}-.3222854{col 68}{space 3} 1.079556
{txt}{space 9}200  {c |}{col 15}{res}{space 2} 1.313453{col 27}{space 2} .4793805{col 38}{space 1}    2.74{col 47}{space 3}0.006{col 55}{space 4} .3738848{col 68}{space 3} 2.253022
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-7.354748{col 27}{space 2} 2.503003{col 38}{space 1}   -2.94{col 47}{space 3}0.003{col 55}{space 4}-12.26054{col 68}{space 3}-2.448952
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.063857{col 27}{space 2} .1465339{col 55}{space 4} .7766564{col 68}{space 3} 1.351059
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.897527{col 27}{space 2} .4245858{col 55}{space 4}  2.17419{col 68}{space 3} 3.861511
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: reg ln_isf_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade if islam_rel==0, robust

{txt}Linear regression                               Number of obs     = {res}     1,133
                                                {txt}F(18, 1114)       =  {res}     5.74
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3563
                                                {txt}Root MSE          =    {res} .65302

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     ln_isf_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .0475399{col 27}{space 2} .0396979{col 38}{space 1}    1.20{col 47}{space 3}0.231{col 55}{space 4}-.0303512{col 68}{space 3} .1254311
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .1226402{col 27}{space 2} .0417007{col 38}{space 1}    2.94{col 47}{space 3}0.003{col 55}{space 4} .0408195{col 68}{space 3}  .204461
{txt}empowerscore3 {c |}{col 15}{res}{space 2}   .00931{col 27}{space 2} .0175087{col 38}{space 1}    0.53{col 47}{space 3}0.595{col 55}{space 4}-.0250436{col 68}{space 3} .0436637
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} -.025799{col 27}{space 2} .0179433{col 38}{space 1}   -1.44{col 47}{space 3}0.151{col 55}{space 4}-.0610054{col 68}{space 3} .0094074
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2} .0993561{col 27}{space 2} .0195178{col 38}{space 1}    5.09{col 47}{space 3}0.000{col 55}{space 4} .0610604{col 68}{space 3} .1376518
{txt}{space 5}gdpcapsq {c |}{col 15}{res}{space 2}-.0020864{col 27}{space 2} .0004011{col 38}{space 1}   -5.20{col 47}{space 3}0.000{col 55}{space 4}-.0028734{col 68}{space 3}-.0012993
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0026691{col 27}{space 2} .0070624{col 38}{space 1}    0.38{col 47}{space 3}0.706{col 55}{space 4} -.011188{col 68}{space 3} .0165262
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0492068{col 27}{space 2} .0444527{col 38}{space 1}    1.11{col 47}{space 3}0.269{col 55}{space 4}-.0380136{col 68}{space 3} .1364272
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .2657348{col 27}{space 2} .1433075{col 38}{space 1}    1.85{col 47}{space 3}0.064{col 55}{space 4}-.0154483{col 68}{space 3} .5469179
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0072588{col 27}{space 2} .0226625{col 38}{space 1}   -0.32{col 47}{space 3}0.749{col 55}{space 4}-.0517248{col 68}{space 3} .0372073
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}  .004359{col 27}{space 2} .0553324{col 38}{space 1}    0.08{col 47}{space 3}0.937{col 55}{space 4}-.1042084{col 68}{space 3} .1129264
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0005308{col 27}{space 2} .0002482{col 38}{space 1}    2.14{col 47}{space 3}0.033{col 55}{space 4} .0000437{col 68}{space 3} .0010178
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2} .2713235{col 27}{space 2}  .106292{col 38}{space 1}    2.55{col 47}{space 3}0.011{col 55}{space 4} .0627684{col 68}{space 3} .4798785
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 1.999932{col 27}{space 2} .2765825{col 38}{space 1}    7.23{col 47}{space 3}0.000{col 55}{space 4}  1.45725{col 68}{space 3} 2.542613
{txt}{space 11}7  {c |}{col 15}{res}{space 2} .3717469{col 27}{space 2} .1050998{col 38}{space 1}    3.54{col 47}{space 3}0.000{col 55}{space 4} .1655311{col 68}{space 3} .5779628
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2}    .0369{col 27}{space 2} .0542043{col 38}{space 1}    0.68{col 47}{space 3}0.496{col 55}{space 4}-.0694539{col 68}{space 3} .1432539
{txt}{space 9}199  {c |}{col 15}{res}{space 2} .0643783{col 27}{space 2} .0600426{col 38}{space 1}    1.07{col 47}{space 3}0.284{col 55}{space 4}-.0534311{col 68}{space 3} .1821877
{txt}{space 9}200  {c |}{col 15}{res}{space 2}  .124525{col 27}{space 2} .0913693{col 38}{space 1}    1.36{col 47}{space 3}0.173{col 55}{space 4}-.0547503{col 68}{space 3} .3038002
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-.7721966{col 27}{space 2} .3470445{col 38}{space 1}   -2.23{col 47}{space 3}0.026{col 55}{space 4}-1.453131{col 68}{space 3}-.0912621
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

{com}. estout using "islamic.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Islamic Terror Attacks" "Islamic Terror Fatalities", pattern(1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"islamic.tex"'})

{com}. eststo clear
{txt}
{com}. 
. 
. //CIRI
. 
. drop _merge
{txt}
{com}. sort ccode year
{txt}
{com}. merge ccode year using "/Users/brooney/Documents/Pubs/Terror Paper/CIRI.dta"
{txt}{p}
(note: you are using old
{bf:merge} syntax; see
{bf:{help merge:[D] merge}} for new syntax)
{p_end}
{p 0 4 2}
variable{txt}s{txt} ccode
year
do not uniquely identify observations in
the master data
{p_end}
{p 0 7 2}
(note: variable
polity was 
byte, now int to accommodate using data's values)
{p_end}
{p 0 4 2}
variable{txt}s{txt} ccode
year
do not uniquely identify observations in
/Users/brooney/Documents/Pubs/Terror Paper/CIRI.dta
{p_end}

{com}. 
. label var physint "Physical Integrity Rights"
{txt}
{com}. label var new_empinx "Empowerment Rights"
{txt}
{com}. 
. sort ccode year
{txt}
{com}. bysort ccode : gen physint_lp1=physint[_n+1]
{txt}(4,796 missing values generated)

{com}. sort ccode year
{txt}
{com}. bysort ccode : gen new_empinx_lp1=new_empinx[_n+1]
{txt}(4,781 missing values generated)

{com}. sort ccode year
{txt}
{com}. bysort ccode : gen tort_1=tort[_n+1]
{txt}(4,675 missing values generated)

{com}. 
. sort ccode year
{txt}
{com}. bysort ccode : gen physintl1=physint[_n-1]
{txt}(4,820 missing values generated)

{com}. sort ccode year
{txt}
{com}. bysort ccode : gen new_empinxl1=new_empinx[_n-1]
{txt}(4,802 missing values generated)

{com}. 
. sort ccode year
{txt}
{com}. bysort ccode : gen physint_ch= physint - physintl1
{txt}(5,036 missing values generated)

{com}. sort ccode year
{txt}
{com}. bysort ccode : gen new_empinx_ch= new_empinx - new_empinxl1
{txt}(5,014 missing values generated)

{com}. 
. 
. label var physint_lp1 "Physical Integrity Rights (Subsequent Year)"
{txt}
{com}. label var new_empinx_lp1 "Empowerment Rights (Subsequent Year)"
{txt}
{com}. 
.         global X lnpop gdpcap gy1 civ_lib polconiii polity2 lagmid lagterr
{txt}
{com}.         
. eststo clear
{txt}
{com}. eststo: reg new_empinx_ch declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}       903
                                                {txt}F(16, 886)        =  {res}     0.77
                                                {txt}Prob > F          = {res}    0.7189
                                                {txt}R-squared         = {res}    0.0121
                                                {txt}Root MSE          =    {res} 1.1364

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}new_empinx_ch{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.1216406{col 27}{space 2} .1355339{col 38}{space 1}   -0.90{col 47}{space 3}0.370{col 55}{space 4}-.3876455{col 68}{space 3} .1443643
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.0627152{col 27}{space 2} .1282835{col 38}{space 1}   -0.49{col 47}{space 3}0.625{col 55}{space 4}-.3144903{col 68}{space 3} .1890598
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .0223261{col 27}{space 2} .0438482{col 38}{space 1}    0.51{col 47}{space 3}0.611{col 55}{space 4}-.0637323{col 68}{space 3} .1083845
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}-.0149709{col 27}{space 2} .0366098{col 38}{space 1}   -0.41{col 47}{space 3}0.683{col 55}{space 4}-.0868229{col 68}{space 3}  .056881
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2} .0055389{col 27}{space 2} .0095304{col 38}{space 1}    0.58{col 47}{space 3}0.561{col 55}{space 4}-.0131659{col 68}{space 3} .0242437
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0015161{col 27}{space 2} .0222622{col 38}{space 1}   -0.07{col 47}{space 3}0.946{col 55}{space 4}-.0452089{col 68}{space 3} .0421767
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0742672{col 27}{space 2} .0843727{col 38}{space 1}    0.88{col 47}{space 3}0.379{col 55}{space 4}-.0913265{col 68}{space 3}  .239861
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.1192682{col 27}{space 2} .2886893{col 38}{space 1}   -0.41{col 47}{space 3}0.680{col 55}{space 4}-.6858628{col 68}{space 3} .4473264
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0532454{col 27}{space 2} .0607623{col 38}{space 1}    0.88{col 47}{space 3}0.381{col 55}{space 4}-.0660094{col 68}{space 3} .1725002
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0271927{col 27}{space 2}  .091055{col 38}{space 1}    0.30{col 47}{space 3}0.765{col 55}{space 4}-.1515161{col 68}{space 3} .2059014
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2}-.0002269{col 27}{space 2} .0007583{col 38}{space 1}   -0.30{col 47}{space 3}0.765{col 55}{space 4}-.0017152{col 68}{space 3} .0012614
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2} .1936447{col 27}{space 2} .3191897{col 38}{space 1}    0.61{col 47}{space 3}0.544{col 55}{space 4}-.4328114{col 68}{space 3} .8201008
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .1931818{col 27}{space 2} .2763806{col 38}{space 1}    0.70{col 47}{space 3}0.485{col 55}{space 4}-.3492553{col 68}{space 3} .7356189
{txt}{space 11}7  {c |}{col 15}{res}{space 2} .0736024{col 27}{space 2} .1871176{col 38}{space 1}    0.39{col 47}{space 3}0.694{col 55}{space 4} -.293643{col 68}{space 3} .4408477
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}199  {c |}{col 15}{res}{space 2}-.1432137{col 27}{space 2} .1049153{col 38}{space 1}   -1.37{col 47}{space 3}0.173{col 55}{space 4}-.3491251{col 68}{space 3} .0626978
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.2607502{col 27}{space 2} .1180732{col 38}{space 1}   -2.21{col 47}{space 3}0.027{col 55}{space 4} -.492486{col 68}{space 3}-.0290144
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-.3249712{col 27}{space 2} .9318089{col 38}{space 1}   -0.35{col 47}{space 3}0.727{col 55}{space 4}-2.153781{col 68}{space 3} 1.503839
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. estout using "Model_repression_new.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Empowerment Rights Change", pattern(1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Country and Decade Fixed Effects & Yes \\")) ///
>                 mlabels("(1)" ) ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_repression_new.tex"'})

{com}. eststo clear
{txt}
{com}. 
. 
. //DPI
. 
. drop _merge     
{txt}
{com}. sort country year
{txt}
{com}. merge country year using "/Users/brooney/Documents/Pubs/Terror Paper/DPI2017_stata13.dta"
{txt}{p}
(note: you are using old
{bf:merge} syntax; see
{bf:{help merge:[D] merge}} for new syntax)
{p_end}
{p 0 4 2}
variable{txt}s{txt} country
year
do not uniquely identify observations in
the master data
{p_end}
{p 0 7 2}
(note: variable
execme was 
str18, now str26 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
nonchief was 
str11, now str14 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
gov1me was 
str23, now str37 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
gov2me was 
str29, now str37 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
gov3me was 
str24, now str51 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
gov3seat was 
byte, now int to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
govothst was 
byte, now int to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
opp1me was 
str19, now str61 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
opp2me was 
str23, now str31 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
opp3me was 
str26, now str38 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
opp3seat was 
byte, now int to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
sensys was 
int, now float to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
numgov was 
int, now float to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
numopp was 
int, now float to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
frac was 
int, now float to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
tensys_strict was 
int, now float to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
tensys was 
int, now float to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
checks_lax was 
int, now float to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
checks was 
int, now float to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
tenlong_strict was 
int, now float to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
tenlong was 
int, now float to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
tenshort_strict was 
int, now float to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
tenshort was 
int, now float to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
polariz was 
int, now float to accommodate using data's values)
{p_end}
{p 0 4 2}
variable{txt}s{txt} country
year
do not uniquely identify observations in
/Users/brooney/Documents/Pubs/Terror Paper/DPI2017_stata13.dta
{p_end}

{com}. drop if constitutionyear ==.
{txt}(10,312 observations deleted)

{com}. 
. sort country year
{txt}
{com}. quietly by country year: gen dup = cond(_N==1,0,_n)
{txt}
{com}.         browse if dup>0
{txt}
{com}.         drop if dup>0
{txt}(0 observations deleted)

{com}.         drop dup
{txt}
{com}. 
.         replace execrlc = . if  execrlc==-999
{txt}(4 real changes made, 4 to missing)

{com}.                 replace execrlc = . if  execrlc==0
{txt}(202 real changes made, 202 to missing)

{com}. replace gov1rlc = . if  gov1rlc==-999
{txt}(53 real changes made, 53 to missing)

{com}. replace gov1rlc = . if  gov1rlc==0
{txt}(145 real changes made, 145 to missing)

{com}. 
. 
.         global X lnpop gdpcap gy1  polconiii civ_lib  polity2 lagmid lagterr 
{txt}
{com}.         
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3 i.gov1rlc $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-246461.32}  
Iteration 1:{space 3}log pseudolikelihood = {res:-198612.33}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-141995.47}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-67006.558}  
Iteration 4:{space 3}log pseudolikelihood = {res:-47493.672}  
Iteration 5:{space 3}log pseudolikelihood = {res:-17300.709}  
Iteration 6:{space 3}log pseudolikelihood = {res:-16653.809}  
Iteration 7:{space 3}log pseudolikelihood = {res:-16644.183}  
Iteration 8:{space 3}log pseudolikelihood = {res:-16644.181}  
Iteration 9:{space 3}log pseudolikelihood = {res: -16644.18}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2941.4255}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2092.3214}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2091.9763}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2091.9762}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2057.0452}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1928.8052}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1916.927}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1833.7382}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1822.8603}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1822.7308}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1822.7306}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       576
{txt}{col 49}Wald chi2({res}19{txt}){col 67}= {res}   9359.63
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1822.7306{txt}{col 49}Pseudo R2{col 67}= {res}    0.1287

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} 1.071479{col 27}{space 2}  .246487{col 38}{space 1}    4.35{col 47}{space 3}0.000{col 55}{space 4} .5883737{col 68}{space 3} 1.554585
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.0232635{col 27}{space 2} .2207911{col 38}{space 1}   -0.11{col 47}{space 3}0.916{col 55}{space 4}-.4560061{col 68}{space 3} .4094791
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1383919{col 27}{space 2} .1218935{col 38}{space 1}    1.14{col 47}{space 3}0.256{col 55}{space 4} -.100515{col 68}{space 3} .3772988
{txt}{space 13} {c |}
{space 6}gov1rlc {c |}
{space 11}2  {c |}{col 15}{res}{space 2} .5369813{col 27}{space 2} .2485242{col 38}{space 1}    2.16{col 47}{space 3}0.031{col 55}{space 4}  .049883{col 68}{space 3}  1.02408
{txt}{space 11}3  {c |}{col 15}{res}{space 2}-.3834434{col 27}{space 2} .1786175{col 38}{space 1}   -2.15{col 47}{space 3}0.032{col 55}{space 4}-.7335273{col 68}{space 3}-.0333595
{txt}{space 13} {c |}
{space 8}lnpop {c |}{col 15}{res}{space 2} .6281818{col 27}{space 2} .0814549{col 38}{space 1}    7.71{col 47}{space 3}0.000{col 55}{space 4}  .468533{col 68}{space 3} .7878305
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2} -.054957{col 27}{space 2} .0246746{col 38}{space 1}   -2.23{col 47}{space 3}0.026{col 55}{space 4}-.1033184{col 68}{space 3}-.0065956
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0307098{col 27}{space 2} .0512161{col 38}{space 1}   -0.60{col 47}{space 3}0.549{col 55}{space 4}-.1310914{col 68}{space 3} .0696718
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-3.528136{col 27}{space 2} .7796043{col 38}{space 1}   -4.53{col 47}{space 3}0.000{col 55}{space 4}-5.056132{col 68}{space 3} -2.00014
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .5928898{col 27}{space 2} .1796197{col 38}{space 1}    3.30{col 47}{space 3}0.001{col 55}{space 4} .2408417{col 68}{space 3} .9449379
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.1598426{col 27}{space 2} .1191601{col 38}{space 1}   -1.34{col 47}{space 3}0.180{col 55}{space 4}-.3933921{col 68}{space 3} .0737068
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.1111365{col 27}{space 2}  .187371{col 38}{space 1}   -0.59{col 47}{space 3}0.553{col 55}{space 4}-.4783769{col 68}{space 3} .2561039
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0093524{col 27}{space 2} .0014402{col 38}{space 1}    6.49{col 47}{space 3}0.000{col 55}{space 4} .0065296{col 68}{space 3} .0121752
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-26.05339{col 27}{space 2} .4227405{col 38}{space 1}  -61.63{col 47}{space 3}0.000{col 55}{space 4}-26.88195{col 68}{space 3}-25.22484
{txt}{space 11}5  {c |}{col 15}{res}{space 2} -.792352{col 27}{space 2} .3943503{col 38}{space 1}   -2.01{col 47}{space 3}0.045{col 55}{space 4}-1.565264{col 68}{space 3}-.0194397
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-2.306196{col 27}{space 2} .3509843{col 38}{space 1}   -6.57{col 47}{space 3}0.000{col 55}{space 4}-2.994113{col 68}{space 3} -1.61828
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1505238{col 27}{space 2} .2401025{col 38}{space 1}    0.63{col 47}{space 3}0.531{col 55}{space 4}-.3200685{col 68}{space 3} .6211161
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.5921156{col 27}{space 2} .2567386{col 38}{space 1}   -2.31{col 47}{space 3}0.021{col 55}{space 4}-1.095314{col 68}{space 3}-.0889173
{txt}{space 9}200  {c |}{col 15}{res}{space 2} -1.39811{col 27}{space 2} .3219391{col 38}{space 1}   -4.34{col 47}{space 3}0.000{col 55}{space 4}-2.029099{col 68}{space 3}-.7671209
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-4.541738{col 27}{space 2}  2.10246{col 38}{space 1}   -2.16{col 47}{space 3}0.031{col 55}{space 4}-8.662484{col 68}{space 3}-.4209923
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} .8324888{col 27}{space 2} .0714567{col 55}{space 4} .6924363{col 68}{space 3} .9725413
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.299033{col 27}{space 2} .1642813{col 55}{space 4} 1.998579{col 68}{space 3} 2.644657
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3 i.gov1rlc $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-17479.416}  
Iteration 1:{space 3}log pseudolikelihood = {res:-11302.607}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res: -8339.915}  
Iteration 3:{space 3}log pseudolikelihood = {res:-6024.6482}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2220.7015}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2130.8987}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2129.7437}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2129.7422}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2129.7421}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1968.6957}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1128.3609}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1126.3765}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1126.369}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1126.369}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1105.0802}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1025.7751}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-969.85982}  
Iteration 3:{space 3}log pseudolikelihood = {res:-920.43056}  
Iteration 4:{space 3}log pseudolikelihood = {res: -916.6864}  
Iteration 5:{space 3}log pseudolikelihood = {res:-916.63701}  
Iteration 6:{space 3}log pseudolikelihood = {res:-916.63701}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       576
{txt}{col 49}Wald chi2({res}19{txt}){col 67}= {res}   4422.64
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-916.63701{txt}{col 49}Pseudo R2{col 67}= {res}    0.1862

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.0481252{col 27}{space 2} .3908405{col 38}{space 1}   -0.12{col 47}{space 3}0.902{col 55}{space 4}-.8141586{col 68}{space 3} .7179082
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .3582769{col 27}{space 2} .3127572{col 38}{space 1}    1.15{col 47}{space 3}0.252{col 55}{space 4}-.2547159{col 68}{space 3} .9712697
{txt}empowerscore3 {c |}{col 15}{res}{space 2}-.0947446{col 27}{space 2} .1457761{col 38}{space 1}   -0.65{col 47}{space 3}0.516{col 55}{space 4}-.3804606{col 68}{space 3} .1909714
{txt}{space 13} {c |}
{space 6}gov1rlc {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.1709354{col 27}{space 2} .2974276{col 38}{space 1}   -0.57{col 47}{space 3}0.565{col 55}{space 4}-.7538828{col 68}{space 3} .4120121
{txt}{space 11}3  {c |}{col 15}{res}{space 2}-1.004311{col 27}{space 2} .2027475{col 38}{space 1}   -4.95{col 47}{space 3}0.000{col 55}{space 4}-1.401689{col 68}{space 3}-.6069329
{txt}{space 13} {c |}
{space 8}lnpop {c |}{col 15}{res}{space 2} .5080812{col 27}{space 2} .0950874{col 38}{space 1}    5.34{col 47}{space 3}0.000{col 55}{space 4} .3217134{col 68}{space 3}  .694449
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0949058{col 27}{space 2} .0297882{col 38}{space 1}   -3.19{col 47}{space 3}0.001{col 55}{space 4}-.1532896{col 68}{space 3}-.0365219
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .2485415{col 27}{space 2} .0680602{col 38}{space 1}    3.65{col 47}{space 3}0.000{col 55}{space 4} .1151459{col 68}{space 3} .3819371
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-2.871748{col 27}{space 2}  1.20049{col 38}{space 1}   -2.39{col 47}{space 3}0.017{col 55}{space 4}-5.224665{col 68}{space 3}-.5188319
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.6179273{col 27}{space 2} .2227701{col 38}{space 1}   -2.77{col 47}{space 3}0.006{col 55}{space 4}-1.054549{col 68}{space 3}-.1813058
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .6110188{col 27}{space 2} .1752087{col 38}{space 1}    3.49{col 47}{space 3}0.000{col 55}{space 4} .2676161{col 68}{space 3} .9544215
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.1379535{col 27}{space 2} .1943003{col 38}{space 1}   -0.71{col 47}{space 3}0.478{col 55}{space 4} -.518775{col 68}{space 3}  .242868
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0031199{col 27}{space 2} .0013276{col 38}{space 1}    2.35{col 47}{space 3}0.019{col 55}{space 4} .0005178{col 68}{space 3}  .005722
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-22.52399{col 27}{space 2} .5238413{col 38}{space 1}  -43.00{col 47}{space 3}0.000{col 55}{space 4} -23.5507{col 68}{space 3}-21.49728
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 5.251348{col 27}{space 2} .7010475{col 38}{space 1}    7.49{col 47}{space 3}0.000{col 55}{space 4}  3.87732{col 68}{space 3} 6.625376
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.8594988{col 27}{space 2} .4171864{col 38}{space 1}   -2.06{col 47}{space 3}0.039{col 55}{space 4}-1.677169{col 68}{space 3}-.0418285
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2}-.0712973{col 27}{space 2} .2637572{col 38}{space 1}   -0.27{col 47}{space 3}0.787{col 55}{space 4} -.588252{col 68}{space 3} .4456574
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.6974885{col 27}{space 2} .3430191{col 38}{space 1}   -2.03{col 47}{space 3}0.042{col 55}{space 4}-1.369794{col 68}{space 3}-.0251833
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.659216{col 27}{space 2} .3695451{col 38}{space 1}   -4.49{col 47}{space 3}0.000{col 55}{space 4}-2.383511{col 68}{space 3}-.9349205
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-9.793045{col 27}{space 2} 2.885474{col 38}{space 1}   -3.39{col 47}{space 3}0.001{col 55}{space 4}-15.44847{col 68}{space 3}-4.137621
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} .9237602{col 27}{space 2} .1200088{col 55}{space 4} .6885472{col 68}{space 3} 1.158973
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.518744{col 27}{space 2} .3022715{col 55}{space 4} 1.990821{col 68}{space 3}  3.18666
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3 i.gov1rlc $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}       576
                                                {txt}F(19, 556)        =  {res}    48.38
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6934
                                                {txt}Root MSE          =    {res} 1.3191

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}  .223076{col 27}{space 2} .2138902{col 38}{space 1}    1.04{col 47}{space 3}0.297{col 55}{space 4}-.1970557{col 68}{space 3} .6432077
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .4089612{col 27}{space 2} .2039572{col 38}{space 1}    2.01{col 47}{space 3}0.045{col 55}{space 4} .0083403{col 68}{space 3} .8095821
{txt}empowerscore3 {c |}{col 15}{res}{space 2}-.0232424{col 27}{space 2} .0720052{col 38}{space 1}   -0.32{col 47}{space 3}0.747{col 55}{space 4}-.1646779{col 68}{space 3} .1181931
{txt}{space 13} {c |}
{space 6}gov1rlc {c |}
{space 11}2  {c |}{col 15}{res}{space 2} 1.272862{col 27}{space 2} .2055634{col 38}{space 1}    6.19{col 47}{space 3}0.000{col 55}{space 4} .8690863{col 68}{space 3} 1.676638
{txt}{space 11}3  {c |}{col 15}{res}{space 2}  .015479{col 27}{space 2} .1310415{col 38}{space 1}    0.12{col 47}{space 3}0.906{col 55}{space 4}-.2419179{col 68}{space 3} .2728759
{txt}{space 13} {c |}
{space 8}lnpop {c |}{col 15}{res}{space 2} .1694937{col 27}{space 2} .0494855{col 38}{space 1}    3.43{col 47}{space 3}0.001{col 55}{space 4} .0722923{col 68}{space 3} .2666951
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0003133{col 27}{space 2} .0175656{col 38}{space 1}   -0.02{col 47}{space 3}0.986{col 55}{space 4}-.0348163{col 68}{space 3} .0341897
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0220106{col 27}{space 2} .0381295{col 38}{space 1}   -0.58{col 47}{space 3}0.564{col 55}{space 4}-.0969061{col 68}{space 3} .0528849
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-2.409185{col 27}{space 2} .5131506{col 38}{space 1}   -4.69{col 47}{space 3}0.000{col 55}{space 4}-3.417136{col 68}{space 3}-1.401234
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .5768188{col 27}{space 2} .1264691{col 38}{space 1}    4.56{col 47}{space 3}0.000{col 55}{space 4} .3284032{col 68}{space 3} .8252345
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.1743165{col 27}{space 2}  .097292{col 38}{space 1}   -1.79{col 47}{space 3}0.074{col 55}{space 4}-.3654213{col 68}{space 3} .0167883
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .2049721{col 27}{space 2} .1448157{col 38}{space 1}    1.42{col 47}{space 3}0.158{col 55}{space 4}-.0794807{col 68}{space 3} .4894249
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0134212{col 27}{space 2} .0013482{col 38}{space 1}    9.96{col 47}{space 3}0.000{col 55}{space 4} .0107731{col 68}{space 3} .0160694
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.4128943{col 27}{space 2} .2677555{col 38}{space 1}   -1.54{col 47}{space 3}0.124{col 55}{space 4}-.9388304{col 68}{space 3} .1130419
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .5590357{col 27}{space 2} .3606286{col 38}{space 1}    1.55{col 47}{space 3}0.122{col 55}{space 4}-.1493252{col 68}{space 3} 1.267397
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.8261378{col 27}{space 2} .3156056{col 38}{space 1}   -2.62{col 47}{space 3}0.009{col 55}{space 4}-1.446063{col 68}{space 3}-.2062126
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0016343{col 27}{space 2} .1942312{col 38}{space 1}    0.01{col 47}{space 3}0.993{col 55}{space 4}-.3798824{col 68}{space 3}  .383151
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-1.029098{col 27}{space 2} .2171552{col 38}{space 1}   -4.74{col 47}{space 3}0.000{col 55}{space 4}-1.455643{col 68}{space 3}-.6025534
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.125929{col 27}{space 2} .2377419{col 38}{space 1}   -4.74{col 47}{space 3}0.000{col 55}{space 4}-1.592911{col 68}{space 3}-.6589467
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} .3070545{col 27}{space 2} 1.508518{col 38}{space 1}    0.20{col 47}{space 3}0.839{col 55}{space 4}-2.656037{col 68}{space 3} 3.270146
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3 i.gov1rlc $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}       576
                                                {txt}F(19, 556)        =  {res}    41.41
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.7206
                                                {txt}Root MSE          =    {res} .89731

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.0061221{col 27}{space 2} .0906235{col 38}{space 1}   -0.07{col 47}{space 3}0.946{col 55}{space 4}-.1841284{col 68}{space 3} .1718841
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .0194645{col 27}{space 2} .1016786{col 38}{space 1}    0.19{col 47}{space 3}0.848{col 55}{space 4}-.1802566{col 68}{space 3} .2191856
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1368665{col 27}{space 2} .0621082{col 38}{space 1}    2.20{col 47}{space 3}0.028{col 55}{space 4} .0148712{col 68}{space 3} .2588619
{txt}{space 13} {c |}
{space 6}gov1rlc {c |}
{space 11}2  {c |}{col 15}{res}{space 2} .0055257{col 27}{space 2} .1202816{col 38}{space 1}    0.05{col 47}{space 3}0.963{col 55}{space 4}-.2307363{col 68}{space 3} .2417877
{txt}{space 11}3  {c |}{col 15}{res}{space 2}-.1124966{col 27}{space 2} .0841508{col 38}{space 1}   -1.34{col 47}{space 3}0.182{col 55}{space 4} -.277789{col 68}{space 3} .0527957
{txt}{space 13} {c |}
{space 8}lnpop {c |}{col 15}{res}{space 2}  .150604{col 27}{space 2} .0355256{col 38}{space 1}    4.24{col 47}{space 3}0.000{col 55}{space 4} .0808233{col 68}{space 3} .2203847
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0355739{col 27}{space 2} .0116817{col 38}{space 1}   -3.05{col 47}{space 3}0.002{col 55}{space 4}-.0585196{col 68}{space 3}-.0126282
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2} .0053412{col 27}{space 2} .0183823{col 38}{space 1}    0.29{col 47}{space 3}0.771{col 55}{space 4}-.0307661{col 68}{space 3} .0414484
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.7583761{col 27}{space 2}  .279743{col 38}{space 1}   -2.71{col 47}{space 3}0.007{col 55}{space 4}-1.307858{col 68}{space 3}-.2088938
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0273804{col 27}{space 2} .0620949{col 38}{space 1}    0.44{col 47}{space 3}0.659{col 55}{space 4}-.0945889{col 68}{space 3} .1493496
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0795801{col 27}{space 2} .0605701{col 38}{space 1}    1.31{col 47}{space 3}0.189{col 55}{space 4}-.0393942{col 68}{space 3} .1985544
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.2803732{col 27}{space 2} .1001324{col 38}{space 1}   -2.80{col 47}{space 3}0.005{col 55}{space 4}-.4770572{col 68}{space 3}-.0836891
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0015721{col 27}{space 2} .0006742{col 38}{space 1}    2.33{col 47}{space 3}0.020{col 55}{space 4} .0002478{col 68}{space 3} .0028965
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2} -.562829{col 27}{space 2} .1982764{col 38}{space 1}   -2.84{col 47}{space 3}0.005{col 55}{space 4}-.9522915{col 68}{space 3}-.1733666
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 4.276051{col 27}{space 2} .2665985{col 38}{space 1}   16.04{col 47}{space 3}0.000{col 55}{space 4} 3.752388{col 68}{space 3} 4.799715
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.8333339{col 27}{space 2} .2482115{col 38}{space 1}   -3.36{col 47}{space 3}0.001{col 55}{space 4}-1.320881{col 68}{space 3}-.3457871
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2}   .41262{col 27}{space 2} .1612496{col 38}{space 1}    2.56{col 47}{space 3}0.011{col 55}{space 4} .0958872{col 68}{space 3} .7293529
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0655475{col 27}{space 2} .1362292{col 38}{space 1}   -0.48{col 47}{space 3}0.631{col 55}{space 4}-.3331344{col 68}{space 3} .2020394
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0543876{col 27}{space 2} .1365246{col 38}{space 1}   -0.40{col 47}{space 3}0.691{col 55}{space 4}-.3225547{col 68}{space 3} .2137794
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-1.798567{col 27}{space 2} 1.036676{col 38}{space 1}   -1.73{col 47}{space 3}0.083{col 55}{space 4}-3.834848{col 68}{space 3} .2377137
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_main_rlc.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_main_rlc.tex"'})

{com}. eststo clear
{txt}
{com}. 
. 
.         global X lnpop gdpcap gy1 gov1vote  polconiii civ_lib  polity2 lagmid lagterr 
{txt}
{com}.         label var gov1vote "Major Party Vote Share"
{txt}
{com}. 
.                 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-224722.21}  
Iteration 1:{space 3}log pseudolikelihood = {res: -180148.1}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-128999.82}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-69463.089}  
Iteration 4:{space 3}log pseudolikelihood = {res:-30046.556}  
Iteration 5:{space 3}log pseudolikelihood = {res:-14245.577}  
Iteration 6:{space 3}log pseudolikelihood = {res:-13368.679}  
Iteration 7:{space 3}log pseudolikelihood = {res:-13334.153}  
Iteration 8:{space 3}log pseudolikelihood = {res:-13334.039}  
Iteration 9:{space 3}log pseudolikelihood = {res:-13334.039}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2699.9697}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1917.1215}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1916.7762}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1916.7761}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1876.3353}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1761.6872}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1687.1311}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1660.7997}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1659.3785}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1659.3755}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1659.3755}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       533
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}   6276.02
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1659.3755{txt}{col 49}Pseudo R2{col 67}= {res}    0.1343

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .9594556{col 27}{space 2} .2206937{col 38}{space 1}    4.35{col 47}{space 3}0.000{col 55}{space 4} .5269039{col 68}{space 3} 1.392007
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .0589159{col 27}{space 2} .2014646{col 38}{space 1}    0.29{col 47}{space 3}0.770{col 55}{space 4}-.3359475{col 68}{space 3} .4537793
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .2208711{col 27}{space 2} .1191507{col 38}{space 1}    1.85{col 47}{space 3}0.064{col 55}{space 4}  -.01266{col 68}{space 3} .4544023
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .6369879{col 27}{space 2} .0688157{col 38}{space 1}    9.26{col 47}{space 3}0.000{col 55}{space 4} .5021115{col 68}{space 3} .7718643
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0350834{col 27}{space 2} .0239899{col 38}{space 1}   -1.46{col 47}{space 3}0.144{col 55}{space 4}-.0821026{col 68}{space 3} .0119359
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0132576{col 27}{space 2} .0492241{col 38}{space 1}   -0.27{col 47}{space 3}0.788{col 55}{space 4}-.1097351{col 68}{space 3} .0832198
{txt}{space 5}gov1vote {c |}{col 15}{res}{space 2}-.0031728{col 27}{space 2} .0081343{col 38}{space 1}   -0.39{col 47}{space 3}0.696{col 55}{space 4}-.0191156{col 68}{space 3} .0127701
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} -3.64829{col 27}{space 2} .9077539{col 38}{space 1}   -4.02{col 47}{space 3}0.000{col 55}{space 4}-5.427455{col 68}{space 3}-1.869125
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .4309164{col 27}{space 2} .1793244{col 38}{space 1}    2.40{col 47}{space 3}0.016{col 55}{space 4}  .079447{col 68}{space 3} .7823858
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.4263707{col 27}{space 2} .1106803{col 38}{space 1}   -3.85{col 47}{space 3}0.000{col 55}{space 4}-.6433001{col 68}{space 3}-.2094414
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.2299519{col 27}{space 2} .1773107{col 38}{space 1}   -1.30{col 47}{space 3}0.195{col 55}{space 4}-.5774745{col 68}{space 3} .1175708
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0103012{col 27}{space 2} .0018639{col 38}{space 1}    5.53{col 47}{space 3}0.000{col 55}{space 4}  .006648{col 68}{space 3} .0139544
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2} -21.6492{col 27}{space 2} .4125473{col 38}{space 1}  -52.48{col 47}{space 3}0.000{col 55}{space 4}-22.45778{col 68}{space 3}-20.84062
{txt}{space 11}5  {c |}{col 15}{res}{space 2}-.6500319{col 27}{space 2} .3724346{col 38}{space 1}   -1.75{col 47}{space 3}0.081{col 55}{space 4} -1.37999{col 68}{space 3} .0799265
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-2.158529{col 27}{space 2}  .371523{col 38}{space 1}   -5.81{col 47}{space 3}0.000{col 55}{space 4}-2.886701{col 68}{space 3}-1.430357
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1662538{col 27}{space 2} .2364931{col 38}{space 1}    0.70{col 47}{space 3}0.482{col 55}{space 4}-.2972642{col 68}{space 3} .6297718
{txt}{space 9}199  {c |}{col 15}{res}{space 2} -.779353{col 27}{space 2} .2571502{col 38}{space 1}   -3.03{col 47}{space 3}0.002{col 55}{space 4}-1.283358{col 68}{space 3}-.2753479
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.634854{col 27}{space 2} .3345567{col 38}{space 1}   -4.89{col 47}{space 3}0.000{col 55}{space 4}-2.290573{col 68}{space 3}-.9791345
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.117027{col 27}{space 2} 1.817892{col 38}{space 1}   -1.16{col 47}{space 3}0.244{col 55}{space 4} -5.68003{col 68}{space 3} 1.445977
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} .7976929{col 27}{space 2} .0737319{col 55}{space 4}  .653181{col 68}{space 3} .9422048
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.220412{col 27}{space 2} .1637152{col 55}{space 4} 1.921644{col 68}{space 3} 2.565632
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-12316.479}  
Iteration 1:{space 3}log pseudolikelihood = {res:-8325.3649}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res: -5275.969}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2929.9994}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2258.1977}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2229.2734}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2229.1346}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2229.1324}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2229.1323}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1875.6182}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1110.8814}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1108.9121}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1108.9046}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1108.9046}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1082.001}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1006.2223}  
Iteration 2:{space 3}log pseudolikelihood = {res:-942.19513}  
Iteration 3:{space 3}log pseudolikelihood = {res:-908.73249}  
Iteration 4:{space 3}log pseudolikelihood = {res:-903.46881}  
Iteration 5:{space 3}log pseudolikelihood = {res:-903.44437}  
Iteration 6:{space 3}log pseudolikelihood = {res:-903.44436}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       533
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}   3744.48
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-903.44436{txt}{col 49}Pseudo R2{col 67}= {res}    0.1853

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.1762188{col 27}{space 2} .3672131{col 38}{space 1}   -0.48{col 47}{space 3}0.631{col 55}{space 4}-.8959433{col 68}{space 3} .5435057
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .6755144{col 27}{space 2} .3090565{col 38}{space 1}    2.19{col 47}{space 3}0.029{col 55}{space 4} .0697748{col 68}{space 3} 1.281254
{txt}empowerscore3 {c |}{col 15}{res}{space 2} -.070318{col 27}{space 2} .1323829{col 38}{space 1}   -0.53{col 47}{space 3}0.595{col 55}{space 4}-.3297838{col 68}{space 3} .1891478
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .6374167{col 27}{space 2} .0902786{col 38}{space 1}    7.06{col 47}{space 3}0.000{col 55}{space 4} .4604738{col 68}{space 3} .8143595
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0862869{col 27}{space 2} .0288442{col 38}{space 1}   -2.99{col 47}{space 3}0.003{col 55}{space 4}-.1428205{col 68}{space 3}-.0297533
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}  .163641{col 27}{space 2} .0654372{col 38}{space 1}    2.50{col 47}{space 3}0.012{col 55}{space 4} .0353864{col 68}{space 3} .2918955
{txt}{space 5}gov1vote {c |}{col 15}{res}{space 2}-.0373961{col 27}{space 2} .0104752{col 38}{space 1}   -3.57{col 47}{space 3}0.000{col 55}{space 4}-.0579271{col 68}{space 3}-.0168652
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-3.927552{col 27}{space 2}  1.31553{col 38}{space 1}   -2.99{col 47}{space 3}0.003{col 55}{space 4}-6.505943{col 68}{space 3}-1.349161
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.5280978{col 27}{space 2} .1740591{col 38}{space 1}   -3.03{col 47}{space 3}0.002{col 55}{space 4}-.8692473{col 68}{space 3}-.1869482
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .6422681{col 27}{space 2} .1819204{col 38}{space 1}    3.53{col 47}{space 3}0.000{col 55}{space 4} .2857107{col 68}{space 3} .9988256
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.3611301{col 27}{space 2} .1900729{col 38}{space 1}   -1.90{col 47}{space 3}0.057{col 55}{space 4}-.7336662{col 68}{space 3} .0114059
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0029052{col 27}{space 2} .0013959{col 38}{space 1}    2.08{col 47}{space 3}0.037{col 55}{space 4} .0001694{col 68}{space 3}  .005641
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-17.29585{col 27}{space 2} .4619774{col 38}{space 1}  -37.44{col 47}{space 3}0.000{col 55}{space 4}-18.20131{col 68}{space 3}-16.39039
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 4.983071{col 27}{space 2} .5092334{col 38}{space 1}    9.79{col 47}{space 3}0.000{col 55}{space 4} 3.984992{col 68}{space 3}  5.98115
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.7425142{col 27}{space 2} .4115095{col 38}{space 1}   -1.80{col 47}{space 3}0.071{col 55}{space 4}-1.549058{col 68}{space 3} .0640296
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0791373{col 27}{space 2} .2528529{col 38}{space 1}    0.31{col 47}{space 3}0.754{col 55}{space 4}-.4164453{col 68}{space 3} .5747199
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-1.026441{col 27}{space 2} .3249398{col 38}{space 1}   -3.16{col 47}{space 3}0.002{col 55}{space 4}-1.663312{col 68}{space 3} -.389571
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-2.062083{col 27}{space 2} .3762567{col 38}{space 1}   -5.48{col 47}{space 3}0.000{col 55}{space 4}-2.799532{col 68}{space 3}-1.324633
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-10.59323{col 27}{space 2} 2.532774{col 38}{space 1}   -4.18{col 47}{space 3}0.000{col 55}{space 4}-15.55738{col 68}{space 3} -5.62909
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} .8296969{col 27}{space 2}  .115197{col 55}{space 4} .6039149{col 68}{space 3} 1.055479
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.292624{col 27}{space 2} .2641033{col 55}{space 4} 1.829266{col 68}{space 3} 2.873351
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}       533
                                                {txt}F(18, 514)        =  {res}    39.76
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6677
                                                {txt}Root MSE          =    {res} 1.3488

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .2372211{col 27}{space 2} .2125232{col 38}{space 1}    1.12{col 47}{space 3}0.265{col 55}{space 4}-.1802998{col 68}{space 3} .6547421
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .3454212{col 27}{space 2} .2265397{col 38}{space 1}    1.52{col 47}{space 3}0.128{col 55}{space 4}-.0996364{col 68}{space 3} .7904789
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1720219{col 27}{space 2} .0690096{col 38}{space 1}    2.49{col 47}{space 3}0.013{col 55}{space 4} .0364464{col 68}{space 3} .3075975
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2}  .230487{col 27}{space 2} .0483084{col 38}{space 1}    4.77{col 47}{space 3}0.000{col 55}{space 4} .1355807{col 68}{space 3} .3253933
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0254476{col 27}{space 2} .0177745{col 38}{space 1}   -1.43{col 47}{space 3}0.153{col 55}{space 4}-.0603671{col 68}{space 3}  .009472
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0573201{col 27}{space 2} .0413293{col 38}{space 1}   -1.39{col 47}{space 3}0.166{col 55}{space 4}-.1385153{col 68}{space 3}  .023875
{txt}{space 5}gov1vote {c |}{col 15}{res}{space 2} .0025423{col 27}{space 2} .0067473{col 38}{space 1}    0.38{col 47}{space 3}0.706{col 55}{space 4}-.0107134{col 68}{space 3} .0157979
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} -1.39144{col 27}{space 2}  .724439{col 38}{space 1}   -1.92{col 47}{space 3}0.055{col 55}{space 4}-2.814665{col 68}{space 3} .0317858
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3279569{col 27}{space 2} .1336053{col 38}{space 1}    2.45{col 47}{space 3}0.014{col 55}{space 4} .0654772{col 68}{space 3} .5904366
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.3617705{col 27}{space 2} .1184714{col 38}{space 1}   -3.05{col 47}{space 3}0.002{col 55}{space 4}-.5945182{col 68}{space 3}-.1290227
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} -.008696{col 27}{space 2} .1451687{col 38}{space 1}   -0.06{col 47}{space 3}0.952{col 55}{space 4}-.2938929{col 68}{space 3} .2765009
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0125498{col 27}{space 2} .0015753{col 38}{space 1}    7.97{col 47}{space 3}0.000{col 55}{space 4}  .009455{col 68}{space 3} .0156447
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.7118968{col 27}{space 2} .2924556{col 38}{space 1}   -2.43{col 47}{space 3}0.015{col 55}{space 4}-1.286452{col 68}{space 3}-.1373414
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .5105101{col 27}{space 2} .3627971{col 38}{space 1}    1.41{col 47}{space 3}0.160{col 55}{space 4}-.2022375{col 68}{space 3} 1.223258
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.9381963{col 27}{space 2} .3004679{col 38}{space 1}   -3.12{col 47}{space 3}0.002{col 55}{space 4}-1.528493{col 68}{space 3}-.3479001
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0629101{col 27}{space 2} .2278263{col 38}{space 1}    0.28{col 47}{space 3}0.783{col 55}{space 4}-.3846751{col 68}{space 3} .5104954
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-1.025653{col 27}{space 2} .2527321{col 38}{space 1}   -4.06{col 47}{space 3}0.000{col 55}{space 4}-1.522168{col 68}{space 3}-.5291378
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.215568{col 27}{space 2} .2788109{col 38}{space 1}   -4.36{col 47}{space 3}0.000{col 55}{space 4}-1.763317{col 68}{space 3}-.6678185
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}   1.7434{col 27}{space 2} 1.569094{col 38}{space 1}    1.11{col 47}{space 3}0.267{col 55}{space 4}-1.339227{col 68}{space 3} 4.826026
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3  $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}       533
                                                {txt}F(18, 514)        =  {res}    47.00
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.7300
                                                {txt}Root MSE          =    {res} .92713

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.0408638{col 27}{space 2} .0947251{col 38}{space 1}   -0.43{col 47}{space 3}0.666{col 55}{space 4}-.2269598{col 68}{space 3} .1452322
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .2087774{col 27}{space 2} .1172242{col 38}{space 1}    1.78{col 47}{space 3}0.076{col 55}{space 4}-.0215201{col 68}{space 3}  .439075
{txt}empowerscore3 {c |}{col 15}{res}{space 2}  .157161{col 27}{space 2} .0637583{col 38}{space 1}    2.46{col 47}{space 3}0.014{col 55}{space 4} .0319021{col 68}{space 3} .2824198
{txt}{space 8}lnpop {c |}{col 15}{res}{space 2} .1694237{col 27}{space 2} .0377993{col 38}{space 1}    4.48{col 47}{space 3}0.000{col 55}{space 4} .0951635{col 68}{space 3} .2436839
{txt}{space 7}gdpcap {c |}{col 15}{res}{space 2}-.0348612{col 27}{space 2} .0112171{col 38}{space 1}   -3.11{col 47}{space 3}0.002{col 55}{space 4}-.0568981{col 68}{space 3}-.0128242
{txt}{space 10}gy1 {c |}{col 15}{res}{space 2}-.0036397{col 27}{space 2} .0211099{col 38}{space 1}   -0.17{col 47}{space 3}0.863{col 55}{space 4}-.0451119{col 68}{space 3} .0378326
{txt}{space 5}gov1vote {c |}{col 15}{res}{space 2} .0002025{col 27}{space 2} .0035036{col 38}{space 1}    0.06{col 47}{space 3}0.954{col 55}{space 4}-.0066807{col 68}{space 3} .0070856
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.6964495{col 27}{space 2} .3744505{col 38}{space 1}   -1.86{col 47}{space 3}0.063{col 55}{space 4}-1.432091{col 68}{space 3} .0391922
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .0116641{col 27}{space 2}  .064701{col 38}{space 1}    0.18{col 47}{space 3}0.857{col 55}{space 4} -.115447{col 68}{space 3} .1387751
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0895502{col 27}{space 2} .0825584{col 38}{space 1}    1.08{col 47}{space 3}0.279{col 55}{space 4}-.0726433{col 68}{space 3} .2517436
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} -.277948{col 27}{space 2} .1060151{col 38}{space 1}   -2.62{col 47}{space 3}0.009{col 55}{space 4}-.4862243{col 68}{space 3}-.0696718
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0014424{col 27}{space 2} .0007472{col 38}{space 1}    1.93{col 47}{space 3}0.054{col 55}{space 4}-.0000256{col 68}{space 3} .0029104
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.6167247{col 27}{space 2} .1984965{col 38}{space 1}   -3.11{col 47}{space 3}0.002{col 55}{space 4}-1.006689{col 68}{space 3}-.2267605
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 4.074487{col 27}{space 2} .2614491{col 38}{space 1}   15.58{col 47}{space 3}0.000{col 55}{space 4} 3.560847{col 68}{space 3} 4.588127
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.7512061{col 27}{space 2} .2618277{col 38}{space 1}   -2.87{col 47}{space 3}0.004{col 55}{space 4} -1.26559{col 68}{space 3}-.2368221
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .4714732{col 27}{space 2}  .176222{col 38}{space 1}    2.68{col 47}{space 3}0.008{col 55}{space 4} .1252693{col 68}{space 3} .8176772
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0510654{col 27}{space 2} .1515177{col 38}{space 1}   -0.34{col 47}{space 3}0.736{col 55}{space 4}-.3487355{col 68}{space 3} .2466048
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0955512{col 27}{space 2} .1457406{col 38}{space 1}   -0.66{col 47}{space 3}0.512{col 55}{space 4}-.3818717{col 68}{space 3} .1907693
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.254297{col 27}{space 2} 1.247896{col 38}{space 1}   -1.81{col 47}{space 3}0.071{col 55}{space 4}-4.705901{col 68}{space 3} .1973076
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_main_vtshare.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_main_vtshare.tex"'})

{com}. eststo clear
{txt}
{com}. 
. 
. 
. //Pre/Post 9/11
. 
. drop _merge     
{txt}
{com}. sort ccode year
{txt}
{com}. merge ccode year using "/Users/brooney/Documents/Pubs/Terror Paper/new_wb.dta"
{txt}{p}
(note: you are using old
{bf:merge} syntax; see
{bf:{help merge:[D] merge}} for new syntax)
{p_end}
{p 0 7 2}
(note: variable
year was 
int, now long to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
ccode was 
int, now long to accommodate using data's values)
{p_end}

{com}. 
. gen post_01=.
{txt}(10,814 missing values generated)

{com}. replace post_01=1 if year>=2002 & year!=.
{txt}(3,256 real changes made)

{com}. replace post_01=0 if year<2002 & year!=.
{txt}(7,558 real changes made)

{com}. gen ln_gdppc= asinh(gdppc)
{txt}(2,210 missing values generated)

{com}. global X ln_pop ln_gdppc gdp_g civ_lib polconiii polity2 lagmid lagterr 
{txt}
{com}. 
. label var post_01 "Post September 11"
{txt}
{com}. 
. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3 post_01 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-481182.94}  
Iteration 1:{space 3}log pseudolikelihood = {res:-451916.27}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-361211.78}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res: -214515.2}  
Iteration 4:{space 3}log pseudolikelihood = {res:-125634.78}  
Iteration 5:{space 3}log pseudolikelihood = {res:-69329.474}  
Iteration 6:{space 3}log pseudolikelihood = {res:-34578.342}  
Iteration 7:{space 3}log pseudolikelihood = {res:-31237.734}  
Iteration 8:{space 3}log pseudolikelihood = {res:-31203.422}  
Iteration 9:{space 3}log pseudolikelihood = {res:-31203.402}  
Iteration 10:{space 2}log pseudolikelihood = {res:  -31203.4}  
Iteration 11:{space 2}log pseudolikelihood = {res:-31203.399}  
Iteration 12:{space 2}log pseudolikelihood = {res:-31203.399}  
Iteration 13:{space 2}log pseudolikelihood = {res:-31203.399}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6146.7565}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3812.6832}  
Iteration 2:{space 3}log pseudolikelihood = {res: -3811.555}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3811.5543}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3811.5543}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3715.4577}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3491.9846}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3361.3829}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3288.7926}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3284.6272}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3284.6053}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3284.6053}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,337
{txt}{col 49}Wald chi2({res}19{txt}){col 67}= {res}   5212.42
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3284.6053{txt}{col 49}Pseudo R2{col 67}= {res}    0.1383

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .5605178{col 27}{space 2} .2880858{col 38}{space 1}    1.95{col 47}{space 3}0.052{col 55}{space 4}-.0041201{col 68}{space 3} 1.125156
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.5240421{col 27}{space 2} .2471083{col 38}{space 1}   -2.12{col 47}{space 3}0.034{col 55}{space 4}-1.008366{col 68}{space 3}-.0397188
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .2281687{col 27}{space 2} .0834983{col 38}{space 1}    2.73{col 47}{space 3}0.006{col 55}{space 4}  .064515{col 68}{space 3} .3918225
{txt}{space 6}post_01 {c |}{col 15}{res}{space 2} .5404132{col 27}{space 2} .3317998{col 38}{space 1}    1.63{col 47}{space 3}0.103{col 55}{space 4}-.1099024{col 68}{space 3} 1.190729
{txt}{space 7}ln_pop {c |}{col 15}{res}{space 2} .8622392{col 27}{space 2} .0600059{col 38}{space 1}   14.37{col 47}{space 3}0.000{col 55}{space 4} .7446299{col 68}{space 3} .9798486
{txt}{space 5}ln_gdppc {c |}{col 15}{res}{space 2} -.485748{col 27}{space 2} .1259109{col 38}{space 1}   -3.86{col 47}{space 3}0.000{col 55}{space 4}-.7325287{col 68}{space 3}-.2389672
{txt}{space 8}gdp_g {c |}{col 15}{res}{space 2} .0131502{col 27}{space 2} .0208981{col 38}{space 1}    0.63{col 47}{space 3}0.529{col 55}{space 4}-.0278094{col 68}{space 3} .0541098
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}  .650631{col 27}{space 2} .1252876{col 38}{space 1}    5.19{col 47}{space 3}0.000{col 55}{space 4} .4050719{col 68}{space 3} .8961902
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .5632175{col 27}{space 2} .5267151{col 38}{space 1}    1.07{col 47}{space 3}0.285{col 55}{space 4}-.4691252{col 68}{space 3}  1.59556
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0145712{col 27}{space 2}  .080903{col 38}{space 1}    0.18{col 47}{space 3}0.857{col 55}{space 4}-.1439958{col 68}{space 3} .1731383
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0636296{col 27}{space 2} .1454857{col 38}{space 1}    0.44{col 47}{space 3}0.662{col 55}{space 4}-.2215171{col 68}{space 3} .3487763
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2}  .010467{col 27}{space 2} .0013691{col 38}{space 1}    7.65{col 47}{space 3}0.000{col 55}{space 4} .0077837{col 68}{space 3} .0131503
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-4.886769{col 27}{space 2}  .631248{col 38}{space 1}   -7.74{col 47}{space 3}0.000{col 55}{space 4}-6.123992{col 68}{space 3}-3.649546
{txt}{space 11}3  {c |}{col 15}{res}{space 2}-22.77088{col 27}{space 2} .4303486{col 38}{space 1}  -52.91{col 47}{space 3}0.000{col 55}{space 4}-23.61434{col 68}{space 3}-21.92741
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .3568047{col 27}{space 2} .2854406{col 38}{space 1}    1.25{col 47}{space 3}0.211{col 55}{space 4}-.2026487{col 68}{space 3}  .916258
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.138776{col 27}{space 2} .2408412{col 38}{space 1}   -4.73{col 47}{space 3}0.000{col 55}{space 4}-1.610816{col 68}{space 3}-.6667358
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0405719{col 27}{space 2} .1821308{col 38}{space 1}    0.22{col 47}{space 3}0.824{col 55}{space 4}-.3163979{col 68}{space 3} .3975417
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.6106626{col 27}{space 2} .2215271{col 38}{space 1}   -2.76{col 47}{space 3}0.006{col 55}{space 4}-1.044848{col 68}{space 3}-.1764774
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.746704{col 27}{space 2} .3360204{col 38}{space 1}   -5.20{col 47}{space 3}0.000{col 55}{space 4}-2.405292{col 68}{space 3}-1.088116
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-9.415589{col 27}{space 2} 1.764216{col 38}{space 1}   -5.34{col 47}{space 3}0.000{col 55}{space 4}-12.87339{col 68}{space 3} -5.95779
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.113003{col 27}{space 2} .0546973{col 55}{space 4} 1.005798{col 68}{space 3} 1.220208
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 3.043484{col 27}{space 2} .1664703{col 55}{space 4} 2.734089{col 68}{space 3} 3.387891
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3 post_01 $X i.region i.decade, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-143990.63}  
Iteration 1:{space 3}log pseudolikelihood = {res:-84379.544}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-47044.217}  
Iteration 3:{space 3}log pseudolikelihood = {res:-25941.168}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15098.986}  
Iteration 5:{space 3}log pseudolikelihood = {res:-14406.583}  
Iteration 6:{space 3}log pseudolikelihood = {res: -14382.79}  
Iteration 7:{space 3}log pseudolikelihood = {res:-14382.706}  
Iteration 8:{space 3}log pseudolikelihood = {res:-14382.706}  
Iteration 9:{space 3}log pseudolikelihood = {res:-14382.706}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5186.7563}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2621.3532}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2615.1026}  
Iteration 3:{space 3}log pseudolikelihood = {res: -2615.088}  
Iteration 4:{space 3}log pseudolikelihood = {res: -2615.088}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2551.4722}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2419.6638}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2386.1675}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -2275.46}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2264.6164}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2264.4329}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2264.4326}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2264.4326}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,337
{txt}{col 49}Wald chi2({res}19{txt}){col 67}= {res}   7602.35
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2264.4326{txt}{col 49}Pseudo R2{col 67}= {res}    0.1341

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.3796309{col 27}{space 2} .5196059{col 38}{space 1}   -0.73{col 47}{space 3}0.465{col 55}{space 4} -1.39804{col 68}{space 3}  .638778
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .7716703{col 27}{space 2} .2927796{col 38}{space 1}    2.64{col 47}{space 3}0.008{col 55}{space 4} .1978327{col 68}{space 3} 1.345508
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .6930137{col 27}{space 2}  .108944{col 38}{space 1}    6.36{col 47}{space 3}0.000{col 55}{space 4} .4794874{col 68}{space 3}   .90654
{txt}{space 6}post_01 {c |}{col 15}{res}{space 2}-.0463254{col 27}{space 2} .4459442{col 38}{space 1}   -0.10{col 47}{space 3}0.917{col 55}{space 4}-.9203601{col 68}{space 3} .8277093
{txt}{space 7}ln_pop {c |}{col 15}{res}{space 2} .5264755{col 27}{space 2} .0716851{col 38}{space 1}    7.34{col 47}{space 3}0.000{col 55}{space 4} .3859753{col 68}{space 3} .6669757
{txt}{space 5}ln_gdppc {c |}{col 15}{res}{space 2}-.7368959{col 27}{space 2} .2299597{col 38}{space 1}   -3.20{col 47}{space 3}0.001{col 55}{space 4}-1.187609{col 68}{space 3}-.2861832
{txt}{space 8}gdp_g {c |}{col 15}{res}{space 2} .0667093{col 27}{space 2}  .034083{col 38}{space 1}    1.96{col 47}{space 3}0.050{col 55}{space 4}-.0000922{col 68}{space 3} .1335107
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .2544286{col 27}{space 2} .1867166{col 38}{space 1}    1.36{col 47}{space 3}0.173{col 55}{space 4}-.1115291{col 68}{space 3} .6203864
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} 1.023707{col 27}{space 2} .6988321{col 38}{space 1}    1.46{col 47}{space 3}0.143{col 55}{space 4}-.3459788{col 68}{space 3} 2.393393
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.2334048{col 27}{space 2} .1284088{col 38}{space 1}   -1.82{col 47}{space 3}0.069{col 55}{space 4}-.4850815{col 68}{space 3} .0182718
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .2662826{col 27}{space 2} .1581491{col 38}{space 1}    1.68{col 47}{space 3}0.092{col 55}{space 4} -.043684{col 68}{space 3} .5762491
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0066027{col 27}{space 2} .0014066{col 38}{space 1}    4.69{col 47}{space 3}0.000{col 55}{space 4} .0038458{col 68}{space 3} .0093595
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-3.467145{col 27}{space 2} .5202111{col 38}{space 1}   -6.66{col 47}{space 3}0.000{col 55}{space 4}-4.486741{col 68}{space 3} -2.44755
{txt}{space 11}3  {c |}{col 15}{res}{space 2}-26.97669{col 27}{space 2} .5217167{col 38}{space 1}  -51.71{col 47}{space 3}0.000{col 55}{space 4}-27.99923{col 68}{space 3}-25.95414
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .7948982{col 27}{space 2} .3914856{col 38}{space 1}    2.03{col 47}{space 3}0.042{col 55}{space 4} .0276004{col 68}{space 3} 1.562196
{txt}{space 11}7  {c |}{col 15}{res}{space 2} -4.95583{col 27}{space 2} .4559429{col 38}{space 1}  -10.87{col 47}{space 3}0.000{col 55}{space 4}-5.849462{col 68}{space 3}-4.062199
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0470033{col 27}{space 2}  .236225{col 38}{space 1}    0.20{col 47}{space 3}0.842{col 55}{space 4}-.4159891{col 68}{space 3} .5099958
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0047463{col 27}{space 2} .4018833{col 38}{space 1}   -0.01{col 47}{space 3}0.991{col 55}{space 4}-.7924231{col 68}{space 3} .7829304
{txt}{space 9}200  {c |}{col 15}{res}{space 2} -.768628{col 27}{space 2}  .558767{col 38}{space 1}   -1.38{col 47}{space 3}0.169{col 55}{space 4}-1.863791{col 68}{space 3} .3265352
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} .9270026{col 27}{space 2} 2.692186{col 38}{space 1}    0.34{col 47}{space 3}0.731{col 55}{space 4}-4.349584{col 68}{space 3}  6.20359
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.595491{col 27}{space 2} .0844085{col 55}{space 4} 1.430053{col 68}{space 3} 1.760928
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 4.930747{col 27}{space 2} .4161968{col 55}{space 4} 4.178921{col 68}{space 3} 5.817834
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3 post_01 $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,337
                                                {txt}F(19, 1317)       =  {res}    57.30
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6094
                                                {txt}Root MSE          =    {res} 1.2109

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .2345285{col 27}{space 2} .1421183{col 38}{space 1}    1.65{col 47}{space 3}0.099{col 55}{space 4}-.0442746{col 68}{space 3} .5133316
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.1034601{col 27}{space 2} .1311553{col 38}{space 1}   -0.79{col 47}{space 3}0.430{col 55}{space 4}-.3607561{col 68}{space 3}  .153836
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .0749451{col 27}{space 2} .0343256{col 38}{space 1}    2.18{col 47}{space 3}0.029{col 55}{space 4} .0076063{col 68}{space 3} .1422839
{txt}{space 6}post_01 {c |}{col 15}{res}{space 2} .2887611{col 27}{space 2} .1226843{col 38}{space 1}    2.35{col 47}{space 3}0.019{col 55}{space 4} .0480831{col 68}{space 3}  .529439
{txt}{space 7}ln_pop {c |}{col 15}{res}{space 2} .2329457{col 27}{space 2}    .0302{col 38}{space 1}    7.71{col 47}{space 3}0.000{col 55}{space 4} .1737003{col 68}{space 3}  .292191
{txt}{space 5}ln_gdppc {c |}{col 15}{res}{space 2}-.1678473{col 27}{space 2} .0668747{col 38}{space 1}   -2.51{col 47}{space 3}0.012{col 55}{space 4}-.2990399{col 68}{space 3}-.0366547
{txt}{space 8}gdp_g {c |}{col 15}{res}{space 2} .0060409{col 27}{space 2} .0111478{col 38}{space 1}    0.54{col 47}{space 3}0.588{col 55}{space 4}-.0158285{col 68}{space 3} .0279103
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3334499{col 27}{space 2} .0720069{col 38}{space 1}    4.63{col 47}{space 3}0.000{col 55}{space 4} .1921891{col 68}{space 3} .4747106
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .1588631{col 27}{space 2} .2615951{col 38}{space 1}    0.61{col 47}{space 3}0.544{col 55}{space 4}-.3543255{col 68}{space 3} .6720517
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0193505{col 27}{space 2} .0470432{col 38}{space 1}   -0.41{col 47}{space 3}0.681{col 55}{space 4}-.1116383{col 68}{space 3} .0729373
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .1251678{col 27}{space 2}  .090542{col 38}{space 1}    1.38{col 47}{space 3}0.167{col 55}{space 4}-.0524545{col 68}{space 3} .3027902
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2}  .012541{col 27}{space 2} .0010344{col 38}{space 1}   12.12{col 47}{space 3}0.000{col 55}{space 4} .0105117{col 68}{space 3} .0145703
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}  -.41988{col 27}{space 2} .1359608{col 38}{space 1}   -3.09{col 47}{space 3}0.002{col 55}{space 4}-.6866033{col 68}{space 3}-.1531566
{txt}{space 11}3  {c |}{col 15}{res}{space 2}-.9654831{col 27}{space 2}  .163081{col 38}{space 1}   -5.92{col 47}{space 3}0.000{col 55}{space 4} -1.28541{col 68}{space 3}-.6455562
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 1.703715{col 27}{space 2} .2442459{col 38}{space 1}    6.98{col 47}{space 3}0.000{col 55}{space 4} 1.224562{col 68}{space 3} 2.182869
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.0690747{col 27}{space 2} .1470277{col 38}{space 1}   -0.47{col 47}{space 3}0.639{col 55}{space 4}-.3575088{col 68}{space 3} .2193594
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .1720547{col 27}{space 2}  .130679{col 38}{space 1}    1.32{col 47}{space 3}0.188{col 55}{space 4} -.084307{col 68}{space 3} .4284164
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.6276939{col 27}{space 2} .1447301{col 38}{space 1}   -4.34{col 47}{space 3}0.000{col 55}{space 4}-.9116206{col 68}{space 3}-.3437673
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.9386337{col 27}{space 2} .1739964{col 38}{space 1}   -5.39{col 47}{space 3}0.000{col 55}{space 4}-1.279974{col 68}{space 3}-.5972933
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-1.924944{col 27}{space 2}  .983673{col 38}{space 1}   -1.96{col 47}{space 3}0.051{col 55}{space 4}-3.854681{col 68}{space 3} .0047933
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3 post_01 $X i.region i.decade, robust

{txt}Linear regression                               Number of obs     = {res}     1,337
                                                {txt}F(19, 1317)       =  {res}    74.42
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6318
                                                {txt}Root MSE          =    {res} .96581

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.2008034{col 27}{space 2} .0919023{col 38}{space 1}   -2.18{col 47}{space 3}0.029{col 55}{space 4}-.3810944{col 68}{space 3}-.0205125
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .8143254{col 27}{space 2} .1114965{col 38}{space 1}    7.30{col 47}{space 3}0.000{col 55}{space 4} .5955952{col 68}{space 3} 1.033056
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1727301{col 27}{space 2}   .03258{col 38}{space 1}    5.30{col 47}{space 3}0.000{col 55}{space 4} .1088158{col 68}{space 3} .2366444
{txt}{space 6}post_01 {c |}{col 15}{res}{space 2} -.001275{col 27}{space 2} .0923666{col 38}{space 1}   -0.01{col 47}{space 3}0.989{col 55}{space 4}-.1824768{col 68}{space 3} .1799268
{txt}{space 7}ln_pop {c |}{col 15}{res}{space 2} .1467855{col 27}{space 2}  .023776{col 38}{space 1}    6.17{col 47}{space 3}0.000{col 55}{space 4} .1001425{col 68}{space 3} .1934285
{txt}{space 5}ln_gdppc {c |}{col 15}{res}{space 2}-.2188889{col 27}{space 2} .0475374{col 38}{space 1}   -4.60{col 47}{space 3}0.000{col 55}{space 4}-.3121461{col 68}{space 3}-.1256317
{txt}{space 8}gdp_g {c |}{col 15}{res}{space 2} .0129339{col 27}{space 2} .0083122{col 38}{space 1}    1.56{col 47}{space 3}0.120{col 55}{space 4}-.0033727{col 68}{space 3} .0292405
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} -.059201{col 27}{space 2}  .051166{col 38}{space 1}   -1.16{col 47}{space 3}0.247{col 55}{space 4}-.1595767{col 68}{space 3} .0411746
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.5608503{col 27}{space 2} .1817429{col 38}{space 1}   -3.09{col 47}{space 3}0.002{col 55}{space 4}-.9173875{col 68}{space 3}-.2043131
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0637069{col 27}{space 2} .0358892{col 38}{space 1}    1.78{col 47}{space 3}0.076{col 55}{space 4}-.0066993{col 68}{space 3} .1341131
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0199247{col 27}{space 2} .0746898{col 38}{space 1}   -0.27{col 47}{space 3}0.790{col 55}{space 4}-.1664486{col 68}{space 3} .1265992
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0055246{col 27}{space 2} .0008174{col 38}{space 1}    6.76{col 47}{space 3}0.000{col 55}{space 4}  .003921{col 68}{space 3} .0071282
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.3950029{col 27}{space 2} .0967517{col 38}{space 1}   -4.08{col 47}{space 3}0.000{col 55}{space 4}-.5848073{col 68}{space 3}-.2051985
{txt}{space 11}3  {c |}{col 15}{res}{space 2}-.7943423{col 27}{space 2} .1155891{col 38}{space 1}   -6.87{col 47}{space 3}0.000{col 55}{space 4}-1.021101{col 68}{space 3}-.5675835
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 3.172953{col 27}{space 2} .1974608{col 38}{space 1}   16.07{col 47}{space 3}0.000{col 55}{space 4} 2.785581{col 68}{space 3} 3.560325
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.000988{col 27}{space 2}  .107964{col 38}{space 1}   -9.27{col 47}{space 3}0.000{col 55}{space 4}-1.212788{col 68}{space 3}-.7891876
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .2378011{col 27}{space 2} .1092767{col 38}{space 1}    2.18{col 47}{space 3}0.030{col 55}{space 4} .0234258{col 68}{space 3} .4521765
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0578607{col 27}{space 2} .0977211{col 38}{space 1}   -0.59{col 47}{space 3}0.554{col 55}{space 4}-.2495668{col 68}{space 3} .1338454
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0955887{col 27}{space 2} .1227902{col 38}{space 1}   -0.78{col 47}{space 3}0.436{col 55}{space 4}-.3364744{col 68}{space 3}  .145297
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-.0756611{col 27}{space 2} .6950674{col 38}{space 1}   -0.11{col 47}{space 3}0.913{col 55}{space 4}-1.439221{col 68}{space 3} 1.287899
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_911_control.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X post_01 _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X post_01 _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_911_control.tex"'})

{com}. eststo clear
{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade if year<=2001 , robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-378124.78}  
Iteration 1:{space 3}log pseudolikelihood = {res:-257268.01}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-117665.86}  
Iteration 3:{space 3}log pseudolikelihood = {res:-39354.726}  
Iteration 4:{space 3}log pseudolikelihood = {res:-29787.527}  
Iteration 5:{space 3}log pseudolikelihood = {res:-29300.978}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29294.621}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29294.619}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5282.9617}  
Iteration 1:{space 3}log pseudolikelihood = {res: -3429.995}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3429.8422}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3429.8422}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3339.1632}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -3150.153}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3002.3646}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2979.2374}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2978.6276}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2978.6272}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2978.6272}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,111
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}   5683.70
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2978.6272{txt}{col 49}Pseudo R2{col 67}= {res}    0.1316

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .7372521{col 27}{space 2} .3172232{col 38}{space 1}    2.32{col 47}{space 3}0.020{col 55}{space 4} .1155061{col 68}{space 3} 1.358998
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.5477086{col 27}{space 2} .2739529{col 38}{space 1}   -2.00{col 47}{space 3}0.046{col 55}{space 4}-1.084646{col 68}{space 3}-.0107709
{txt}empowerscore3 {c |}{col 15}{res}{space 2}  .093655{col 27}{space 2} .0878507{col 38}{space 1}    1.07{col 47}{space 3}0.286{col 55}{space 4}-.0785291{col 68}{space 3} .2658391
{txt}{space 7}ln_pop {c |}{col 15}{res}{space 2} .8477592{col 27}{space 2} .0621577{col 38}{space 1}   13.64{col 47}{space 3}0.000{col 55}{space 4} .7259323{col 68}{space 3} .9695862
{txt}{space 5}ln_gdppc {c |}{col 15}{res}{space 2}-.6249347{col 27}{space 2} .1329951{col 38}{space 1}   -4.70{col 47}{space 3}0.000{col 55}{space 4}-.8856002{col 68}{space 3}-.3642691
{txt}{space 8}gdp_g {c |}{col 15}{res}{space 2} .0132343{col 27}{space 2} .0215808{col 38}{space 1}    0.61{col 47}{space 3}0.540{col 55}{space 4}-.0290634{col 68}{space 3} .0555319
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .6345556{col 27}{space 2} .1283456{col 38}{space 1}    4.94{col 47}{space 3}0.000{col 55}{space 4} .3830029{col 68}{space 3} .8861083
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .8515958{col 27}{space 2} .5573229{col 38}{space 1}    1.53{col 47}{space 3}0.127{col 55}{space 4} -.240737{col 68}{space 3} 1.943929
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}   .01383{col 27}{space 2} .0831846{col 38}{space 1}    0.17{col 47}{space 3}0.868{col 55}{space 4}-.1492088{col 68}{space 3} .1768689
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .2021587{col 27}{space 2}  .146295{col 38}{space 1}    1.38{col 47}{space 3}0.167{col 55}{space 4}-.0845743{col 68}{space 3} .4888916
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0094641{col 27}{space 2} .0012694{col 38}{space 1}    7.46{col 47}{space 3}0.000{col 55}{space 4} .0069762{col 68}{space 3} .0119521
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-4.746546{col 27}{space 2} .6502007{col 38}{space 1}   -7.30{col 47}{space 3}0.000{col 55}{space 4}-6.020915{col 68}{space 3}-3.472176
{txt}{space 11}3  {c |}{col 15}{res}{space 2}-24.99939{col 27}{space 2} .4577398{col 38}{space 1}  -54.61{col 47}{space 3}0.000{col 55}{space 4}-25.89654{col 68}{space 3}-24.10224
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .2351199{col 27}{space 2} .3051485{col 38}{space 1}    0.77{col 47}{space 3}0.441{col 55}{space 4}-.3629603{col 68}{space 3}    .8332
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.126459{col 27}{space 2} .2480581{col 38}{space 1}   -4.54{col 47}{space 3}0.000{col 55}{space 4}-1.612644{col 68}{space 3}-.6402738
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .0584537{col 27}{space 2} .1769926{col 38}{space 1}    0.33{col 47}{space 3}0.741{col 55}{space 4}-.2884453{col 68}{space 3} .4053528
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.4583779{col 27}{space 2} .2255858{col 38}{space 1}   -2.03{col 47}{space 3}0.042{col 55}{space 4} -.900518{col 68}{space 3}-.0162378
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-1.556215{col 27}{space 2} .3457101{col 38}{space 1}   -4.50{col 47}{space 3}0.000{col 55}{space 4}-2.233795{col 68}{space 3} -.878636
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-8.030725{col 27}{space 2} 1.785719{col 38}{space 1}   -4.50{col 47}{space 3}0.000{col 55}{space 4}-11.53067{col 68}{space 3} -4.53078
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.049503{col 27}{space 2} .0557643{col 55}{space 4} .9402075{col 68}{space 3} 1.158799
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 2.856233{col 27}{space 2} .1592757{col 55}{space 4} 2.560513{col 68}{space 3} 3.186106
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3  $X i.region i.decade if year<=2001 , robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102860.53}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56094.923}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-40884.644}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15049.699}  
Iteration 4:{space 3}log pseudolikelihood = {res: -13661.92}  
Iteration 5:{space 3}log pseudolikelihood = {res:-13645.159}  
Iteration 6:{space 3}log pseudolikelihood = {res:-13645.115}  
Iteration 7:{space 3}log pseudolikelihood = {res:-13645.114}  
Iteration 8:{space 3}log pseudolikelihood = {res:-13645.114}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4466.2403}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2371.8962}  
Iteration 2:{space 3}log pseudolikelihood = {res: -2368.153}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2368.1421}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2368.1421}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2308.3979}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2160.3893}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2087.4522}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2070.4374}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2069.7742}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2069.7714}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2069.7714}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,111
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}   5573.57
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2069.7714{txt}{col 49}Pseudo R2{col 67}= {res}    0.1260

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.4398306{col 27}{space 2} .5501269{col 38}{space 1}   -0.80{col 47}{space 3}0.424{col 55}{space 4}-1.518059{col 68}{space 3} .6383983
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .9914939{col 27}{space 2} .2988088{col 38}{space 1}    3.32{col 47}{space 3}0.001{col 55}{space 4} .4058394{col 68}{space 3} 1.577148
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .5464306{col 27}{space 2} .1143538{col 38}{space 1}    4.78{col 47}{space 3}0.000{col 55}{space 4} .3223014{col 68}{space 3} .7705598
{txt}{space 7}ln_pop {c |}{col 15}{res}{space 2} .5107661{col 27}{space 2} .0764551{col 38}{space 1}    6.68{col 47}{space 3}0.000{col 55}{space 4} .3609168{col 68}{space 3} .6606155
{txt}{space 5}ln_gdppc {c |}{col 15}{res}{space 2}-.6649123{col 27}{space 2} .2349673{col 38}{space 1}   -2.83{col 47}{space 3}0.005{col 55}{space 4} -1.12544{col 68}{space 3}-.2043849
{txt}{space 8}gdp_g {c |}{col 15}{res}{space 2} .0740485{col 27}{space 2} .0365588{col 38}{space 1}    2.03{col 47}{space 3}0.043{col 55}{space 4} .0023945{col 68}{space 3} .1457024
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .4527226{col 27}{space 2} .2082289{col 38}{space 1}    2.17{col 47}{space 3}0.030{col 55}{space 4} .0446014{col 68}{space 3} .8608438
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .7632486{col 27}{space 2} .7330466{col 38}{space 1}    1.04{col 47}{space 3}0.298{col 55}{space 4}-.6734964{col 68}{space 3} 2.199994
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.2257684{col 27}{space 2} .1404772{col 38}{space 1}   -1.61{col 47}{space 3}0.108{col 55}{space 4}-.5010987{col 68}{space 3} .0495619
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .3207311{col 27}{space 2} .1667466{col 38}{space 1}    1.92{col 47}{space 3}0.054{col 55}{space 4}-.0060863{col 68}{space 3} .6475484
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2}  .006227{col 27}{space 2} .0013926{col 38}{space 1}    4.47{col 47}{space 3}0.000{col 55}{space 4} .0034976{col 68}{space 3} .0089564
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-3.273113{col 27}{space 2} .5782809{col 38}{space 1}   -5.66{col 47}{space 3}0.000{col 55}{space 4}-4.406523{col 68}{space 3}-2.139704
{txt}{space 11}3  {c |}{col 15}{res}{space 2}-24.43404{col 27}{space 2} .5828528{col 38}{space 1}  -41.92{col 47}{space 3}0.000{col 55}{space 4}-25.57641{col 68}{space 3}-23.29167
{txt}{space 11}5  {c |}{col 15}{res}{space 2} .4059703{col 27}{space 2} .4310686{col 38}{space 1}    0.94{col 47}{space 3}0.346{col 55}{space 4}-.4389086{col 68}{space 3} 1.250849
{txt}{space 11}7  {c |}{col 15}{res}{space 2} -4.94431{col 27}{space 2} .4924538{col 38}{space 1}  -10.04{col 47}{space 3}0.000{col 55}{space 4}-5.909502{col 68}{space 3}-3.979119
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2}   .04942{col 27}{space 2} .2323865{col 38}{space 1}    0.21{col 47}{space 3}0.832{col 55}{space 4}-.4060493{col 68}{space 3} .5048893
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0645639{col 27}{space 2} .3958663{col 38}{space 1}   -0.16{col 47}{space 3}0.870{col 55}{space 4}-.8404476{col 68}{space 3} .7113197
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.8878913{col 27}{space 2} .5384006{col 38}{space 1}   -1.65{col 47}{space 3}0.099{col 55}{space 4}-1.943137{col 68}{space 3} .1673545
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} .2146948{col 27}{space 2} 2.770952{col 38}{space 1}    0.08{col 47}{space 3}0.938{col 55}{space 4}-5.216271{col 68}{space 3}  5.64566
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.559143{col 27}{space 2} .0854181{col 55}{space 4} 1.391726{col 68}{space 3} 1.726559
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 4.754744{col 27}{space 2} .4061413{col 55}{space 4} 4.021787{col 68}{space 3} 5.621279
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3  $X i.region i.decade if year<=2001, robust

{txt}Linear regression                               Number of obs     = {res}     1,111
                                                {txt}F(18, 1092)       =  {res}    57.23
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6154
                                                {txt}Root MSE          =    {res}  1.258

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .3497275{col 27}{space 2} .1939125{col 38}{space 1}    1.80{col 47}{space 3}0.072{col 55}{space 4}-.0307557{col 68}{space 3} .7302107
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.1258195{col 27}{space 2} .1624549{col 38}{space 1}   -0.77{col 47}{space 3}0.439{col 55}{space 4}-.4445786{col 68}{space 3} .1929395
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .0672184{col 27}{space 2} .0386043{col 38}{space 1}    1.74{col 47}{space 3}0.082{col 55}{space 4}-.0085286{col 68}{space 3} .1429653
{txt}{space 7}ln_pop {c |}{col 15}{res}{space 2} .2584226{col 27}{space 2} .0349298{col 38}{space 1}    7.40{col 47}{space 3}0.000{col 55}{space 4} .1898855{col 68}{space 3} .3269596
{txt}{space 5}ln_gdppc {c |}{col 15}{res}{space 2}-.2868023{col 27}{space 2} .0758132{col 38}{space 1}   -3.78{col 47}{space 3}0.000{col 55}{space 4}-.4355582{col 68}{space 3}-.1380463
{txt}{space 8}gdp_g {c |}{col 15}{res}{space 2}-.0000363{col 27}{space 2} .0126687{col 38}{space 1}   -0.00{col 47}{space 3}0.998{col 55}{space 4} -.024894{col 68}{space 3} .0248215
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .3307946{col 27}{space 2} .0831101{col 38}{space 1}    3.98{col 47}{space 3}0.000{col 55}{space 4}  .167721{col 68}{space 3} .4938682
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .4540264{col 27}{space 2} .2907685{col 38}{space 1}    1.56{col 47}{space 3}0.119{col 55}{space 4}-.1165017{col 68}{space 3} 1.024555
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0241017{col 27}{space 2} .0534477{col 38}{space 1}   -0.45{col 47}{space 3}0.652{col 55}{space 4}-.1289735{col 68}{space 3} .0807701
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .1515464{col 27}{space 2} .0975504{col 38}{space 1}    1.55{col 47}{space 3}0.121{col 55}{space 4}-.0398609{col 68}{space 3} .3429538
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0119144{col 27}{space 2} .0010253{col 38}{space 1}   11.62{col 47}{space 3}0.000{col 55}{space 4} .0099026{col 68}{space 3} .0139262
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.6561109{col 27}{space 2} .1665991{col 38}{space 1}   -3.94{col 47}{space 3}0.000{col 55}{space 4}-.9830014{col 68}{space 3}-.3292204
{txt}{space 11}3  {c |}{col 15}{res}{space 2}-1.103968{col 27}{space 2} .2042397{col 38}{space 1}   -5.41{col 47}{space 3}0.000{col 55}{space 4}-1.504714{col 68}{space 3}-.7032211
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 1.518249{col 27}{space 2} .2643614{col 38}{space 1}    5.74{col 47}{space 3}0.000{col 55}{space 4} .9995352{col 68}{space 3} 2.036963
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-.1936516{col 27}{space 2} .1699713{col 38}{space 1}   -1.14{col 47}{space 3}0.255{col 55}{space 4}-.5271588{col 68}{space 3} .1398556
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .2142993{col 27}{space 2} .1314595{col 38}{space 1}    1.63{col 47}{space 3}0.103{col 55}{space 4}-.0436425{col 68}{space 3} .4722412
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.5287792{col 27}{space 2}   .15115{col 38}{space 1}   -3.50{col 47}{space 3}0.000{col 55}{space 4}-.8253564{col 68}{space 3}-.2322019
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.8513516{col 27}{space 2} .1839938{col 38}{space 1}   -4.63{col 47}{space 3}0.000{col 55}{space 4}-1.212373{col 68}{space 3}-.4903302
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-1.303521{col 27}{space 2} 1.118128{col 38}{space 1}   -1.17{col 47}{space 3}0.244{col 55}{space 4}-3.497444{col 68}{space 3} .8904008
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3  $X i.region i.decade if year<=2001 , robust

{txt}Linear regression                               Number of obs     = {res}     1,111
                                                {txt}F(18, 1092)       =  {res}    70.91
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6300
                                                {txt}Root MSE          =    {res} 1.0214

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} -.422426{col 27}{space 2} .1368341{col 38}{space 1}   -3.09{col 47}{space 3}0.002{col 55}{space 4}-.6909134{col 68}{space 3}-.1539386
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.082788{col 27}{space 2} .1402178{col 38}{space 1}    7.72{col 47}{space 3}0.000{col 55}{space 4} .8076612{col 68}{space 3} 1.357915
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1842662{col 27}{space 2} .0379801{col 38}{space 1}    4.85{col 47}{space 3}0.000{col 55}{space 4}  .109744{col 68}{space 3} .2587884
{txt}{space 7}ln_pop {c |}{col 15}{res}{space 2} .1664338{col 27}{space 2} .0282481{col 38}{space 1}    5.89{col 47}{space 3}0.000{col 55}{space 4} .1110071{col 68}{space 3} .2218605
{txt}{space 5}ln_gdppc {c |}{col 15}{res}{space 2}-.2261905{col 27}{space 2} .0554964{col 38}{space 1}   -4.08{col 47}{space 3}0.000{col 55}{space 4}-.3350822{col 68}{space 3}-.1172988
{txt}{space 8}gdp_g {c |}{col 15}{res}{space 2} .0091731{col 27}{space 2} .0095026{col 38}{space 1}    0.97{col 47}{space 3}0.335{col 55}{space 4}-.0094724{col 68}{space 3} .0278186
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}-.0570714{col 27}{space 2} .0604473{col 38}{space 1}   -0.94{col 47}{space 3}0.345{col 55}{space 4}-.1756773{col 68}{space 3} .0615345
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} -.574953{col 27}{space 2} .2132279{col 38}{space 1}   -2.70{col 47}{space 3}0.007{col 55}{space 4}-.9933356{col 68}{space 3}-.1565703
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .0499536{col 27}{space 2} .0405403{col 38}{space 1}    1.23{col 47}{space 3}0.218{col 55}{space 4}-.0295922{col 68}{space 3} .1294993
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0118583{col 27}{space 2}  .080207{col 38}{space 1}   -0.15{col 47}{space 3}0.882{col 55}{space 4}-.1692356{col 68}{space 3} .1455191
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0054713{col 27}{space 2} .0007928{col 38}{space 1}    6.90{col 47}{space 3}0.000{col 55}{space 4} .0039157{col 68}{space 3} .0070269
{txt}{space 13} {c |}
{space 7}region {c |}
{space 11}2  {c |}{col 15}{res}{space 2}-.4052508{col 27}{space 2} .1245714{col 38}{space 1}   -3.25{col 47}{space 3}0.001{col 55}{space 4}-.6496773{col 68}{space 3}-.1608244
{txt}{space 11}3  {c |}{col 15}{res}{space 2}-.9037745{col 27}{space 2} .1446273{col 38}{space 1}   -6.25{col 47}{space 3}0.000{col 55}{space 4}-1.187553{col 68}{space 3}-.6199957
{txt}{space 11}5  {c |}{col 15}{res}{space 2} 2.973669{col 27}{space 2} .2236408{col 38}{space 1}   13.30{col 47}{space 3}0.000{col 55}{space 4} 2.534855{col 68}{space 3} 3.412483
{txt}{space 11}7  {c |}{col 15}{res}{space 2}-1.078551{col 27}{space 2} .1302863{col 38}{space 1}   -8.28{col 47}{space 3}0.000{col 55}{space 4} -1.33419{col 68}{space 3} -.822911
{txt}{space 13} {c |}
{space 7}decade {c |}
{space 9}198  {c |}{col 15}{res}{space 2} .2408271{col 27}{space 2} .1100591{col 38}{space 1}    2.19{col 47}{space 3}0.029{col 55}{space 4} .0248759{col 68}{space 3} .4567783
{txt}{space 9}199  {c |}{col 15}{res}{space 2}-.0462585{col 27}{space 2} .1039376{col 38}{space 1}   -0.45{col 47}{space 3}0.656{col 55}{space 4}-.2501985{col 68}{space 3} .1576815
{txt}{space 9}200  {c |}{col 15}{res}{space 2}-.0736546{col 27}{space 2} .1308169{col 38}{space 1}   -0.56{col 47}{space 3}0.574{col 55}{space 4}-.3303355{col 68}{space 3} .1830263
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-.1844207{col 27}{space 2} .7961363{col 38}{space 1}   -0.23{col 47}{space 3}0.817{col 55}{space 4}-1.746551{col 68}{space 3} 1.377709
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_pre911.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region and Decade Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_pre911.tex"'})

{com}. eststo clear
{txt}
{com}. 
. eststo clear
{txt}
{com}. eststo: nbreg d_3 declaredsoe soe_emp empowerscore3  $X  if year>=2001, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-59864.437}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:    -55096}  
Iteration 2:{space 3}log pseudolikelihood = {res:-26984.016}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-20436.537}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-8401.6524}  
Iteration 5:{space 3}log pseudolikelihood = {res:-5781.0815}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3632.0318}  
Iteration 7:{space 3}log pseudolikelihood = {res:-3461.1393}  
Iteration 8:{space 3}log pseudolikelihood = {res:-3446.5303}  
Iteration 9:{space 3}log pseudolikelihood = {res:-3446.4989}  
Iteration 10:{space 2}log pseudolikelihood = {res:-3446.4989}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1611.101}  
Iteration 1:{space 3}log pseudolikelihood = {res:-840.98222}  
Iteration 2:{space 3}log pseudolikelihood = {res:-838.08616}  
Iteration 3:{space 3}log pseudolikelihood = {res:-838.06216}  
Iteration 4:{space 3}log pseudolikelihood = {res:-838.06216}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-811.07715}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-762.21212}  
Iteration 2:{space 3}log pseudolikelihood = {res:-756.80518}  
Iteration 3:{space 3}log pseudolikelihood = {res: -699.7133}  
Iteration 4:{space 3}log pseudolikelihood = {res:-684.48024}  
Iteration 5:{space 3}log pseudolikelihood = {res:-683.86065}  
Iteration 6:{space 3}log pseudolikelihood = {res:-683.85696}  
Iteration 7:{space 3}log pseudolikelihood = {res:-683.85696}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       538
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    409.31
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-683.85696{txt}{col 49}Pseudo R2{col 67}= {res}    0.1840

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          d_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .0099922{col 27}{space 2} .3439493{col 38}{space 1}    0.03{col 47}{space 3}0.977{col 55}{space 4} -.664136{col 68}{space 3} .6841204
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .3848858{col 27}{space 2} .3450642{col 38}{space 1}    1.12{col 47}{space 3}0.265{col 55}{space 4}-.2914276{col 68}{space 3} 1.061199
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .6081429{col 27}{space 2} .2003663{col 38}{space 1}    3.04{col 47}{space 3}0.002{col 55}{space 4} .2154321{col 68}{space 3} 1.000854
{txt}{space 7}ln_pop {c |}{col 15}{res}{space 2} 1.134815{col 27}{space 2} .1302399{col 38}{space 1}    8.71{col 47}{space 3}0.000{col 55}{space 4} .8795489{col 68}{space 3}  1.39008
{txt}{space 5}ln_gdppc {c |}{col 15}{res}{space 2} 1.547166{col 27}{space 2}  .198386{col 38}{space 1}    7.80{col 47}{space 3}0.000{col 55}{space 4} 1.158337{col 68}{space 3} 1.935996
{txt}{space 8}gdp_g {c |}{col 15}{res}{space 2}    .0739{col 27}{space 2}  .030174{col 38}{space 1}    2.45{col 47}{space 3}0.014{col 55}{space 4}   .01476{col 68}{space 3}   .13304
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2}  1.52068{col 27}{space 2} .2316486{col 38}{space 1}    6.56{col 47}{space 3}0.000{col 55}{space 4} 1.066657{col 68}{space 3} 1.974703
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-1.700481{col 27}{space 2} 1.054264{col 38}{space 1}   -1.61{col 47}{space 3}0.107{col 55}{space 4}-3.766801{col 68}{space 3} .3658387
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} .1421699{col 27}{space 2} .1727432{col 38}{space 1}    0.82{col 47}{space 3}0.411{col 55}{space 4}-.1964007{col 68}{space 3} .4807404
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.7662873{col 27}{space 2} .3696855{col 38}{space 1}   -2.07{col 47}{space 3}0.038{col 55}{space 4}-1.490858{col 68}{space 3}-.0417169
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0356267{col 27}{space 2} .0116622{col 38}{space 1}    3.05{col 47}{space 3}0.002{col 55}{space 4} .0127693{col 68}{space 3} .0584841
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-39.28567{col 27}{space 2} 3.543311{col 38}{space 1}  -11.09{col 47}{space 3}0.000{col 55}{space 4}-46.23043{col 68}{space 3}-32.34091
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 1.330857{col 27}{space 2} .1129956{col 55}{space 4} 1.109389{col 68}{space 3} 1.552324
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 3.784283{col 27}{space 2} .4276074{col 55}{space 4} 3.032506{col 68}{space 3} 4.722432
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}. eststo: nbreg f_3 declaredsoe soe_emp empowerscore3  $X  if year>=2001 , robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -12527.71}  
Iteration 1:{space 3}log pseudolikelihood = {res:-6603.2556}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-4714.5546}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2909.6307}  
Iteration 4:{space 3}log pseudolikelihood = {res:  -2492.59}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2415.2592}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2396.2603}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2395.2989}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2395.2986}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2395.2986}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1302.8816}  
Iteration 1:{space 3}log pseudolikelihood = {res:-539.27559}  
Iteration 2:{space 3}log pseudolikelihood = {res: -532.6507}  
Iteration 3:{space 3}log pseudolikelihood = {res: -532.2913}  
Iteration 4:{space 3}log pseudolikelihood = {res:-532.29082}  
Iteration 5:{space 3}log pseudolikelihood = {res:-532.29082}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-517.92199}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-488.22091}  
Iteration 2:{space 3}log pseudolikelihood = {res:-459.16672}  
Iteration 3:{space 3}log pseudolikelihood = {res: -455.4035}  
Iteration 4:{space 3}log pseudolikelihood = {res:-455.22987}  
Iteration 5:{space 3}log pseudolikelihood = {res:-455.22928}  
Iteration 6:{space 3}log pseudolikelihood = {res:-455.22928}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       538
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    262.89
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-455.22928{txt}{col 49}Pseudo R2{col 67}= {res}    0.1448

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}          f_3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.9615583{col 27}{space 2} .8051658{col 38}{space 1}   -1.19{col 47}{space 3}0.232{col 55}{space 4}-2.539654{col 68}{space 3} .6165377
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} 1.184802{col 27}{space 2} .6653766{col 38}{space 1}    1.78{col 47}{space 3}0.075{col 55}{space 4}-.1193124{col 68}{space 3} 2.488916
{txt}empowerscore3 {c |}{col 15}{res}{space 2} 1.316635{col 27}{space 2} .3449039{col 38}{space 1}    3.82{col 47}{space 3}0.000{col 55}{space 4} .6406355{col 68}{space 3} 1.992634
{txt}{space 7}ln_pop {c |}{col 15}{res}{space 2} .5669831{col 27}{space 2} .1339538{col 38}{space 1}    4.23{col 47}{space 3}0.000{col 55}{space 4} .3044385{col 68}{space 3} .8295276
{txt}{space 5}ln_gdppc {c |}{col 15}{res}{space 2} 1.649195{col 27}{space 2} .2304558{col 38}{space 1}    7.16{col 47}{space 3}0.000{col 55}{space 4}  1.19751{col 68}{space 3}  2.10088
{txt}{space 8}gdp_g {c |}{col 15}{res}{space 2} .1089448{col 27}{space 2} .0381514{col 38}{space 1}    2.86{col 47}{space 3}0.004{col 55}{space 4} .0341695{col 68}{space 3} .1837202
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .9032662{col 27}{space 2}  .269577{col 38}{space 1}    3.35{col 47}{space 3}0.001{col 55}{space 4}  .374905{col 68}{space 3} 1.431627
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} 2.005988{col 27}{space 2} 1.500772{col 38}{space 1}    1.34{col 47}{space 3}0.181{col 55}{space 4}-.9354716{col 68}{space 3} 4.947448
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2} -.596975{col 27}{space 2} .2410879{col 38}{space 1}   -2.48{col 47}{space 3}0.013{col 55}{space 4}-1.069499{col 68}{space 3}-.1244513
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.3894048{col 27}{space 2} .4232468{col 38}{space 1}   -0.92{col 47}{space 3}0.358{col 55}{space 4}-1.218953{col 68}{space 3} .4401437
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0428037{col 27}{space 2} .0120276{col 38}{space 1}    3.56{col 47}{space 3}0.000{col 55}{space 4} .0192301{col 68}{space 3} .0663773
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-25.54508{col 27}{space 2} 3.897216{col 38}{space 1}   -6.55{col 47}{space 3}0.000{col 55}{space 4}-33.18348{col 68}{space 3}-17.90668
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 2.098806{col 27}{space 2} .1703438{col 55}{space 4} 1.764939{col 68}{space 3} 2.432674
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 8.156429{col 27}{space 2} 1.389397{col 55}{space 4} 5.841215{col 68}{space 3}  11.3893
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. eststo: reg ln_fatal_d3 declaredsoe soe_emp empowerscore3 $X  if year>=2001, robust

{txt}Linear regression                               Number of obs     = {res}       538
                                                {txt}F(11, 526)        =  {res}     6.82
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3484
                                                {txt}Root MSE          =    {res} .98209

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_d3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2}-.0574405{col 27}{space 2} .1033659{col 38}{space 1}   -0.56{col 47}{space 3}0.579{col 55}{space 4}-.2605012{col 68}{space 3} .1456202
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2}-.0684014{col 27}{space 2} .1419992{col 38}{space 1}   -0.48{col 47}{space 3}0.630{col 55}{space 4}-.3473566{col 68}{space 3} .2105538
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1106873{col 27}{space 2} .0516709{col 38}{space 1}    2.14{col 47}{space 3}0.033{col 55}{space 4} .0091806{col 68}{space 3}  .212194
{txt}{space 7}ln_pop {c |}{col 15}{res}{space 2} .0870968{col 27}{space 2} .0304861{col 38}{space 1}    2.86{col 47}{space 3}0.004{col 55}{space 4} .0272073{col 68}{space 3} .1469862
{txt}{space 5}ln_gdppc {c |}{col 15}{res}{space 2} .3385211{col 27}{space 2} .0747918{col 38}{space 1}    4.53{col 47}{space 3}0.000{col 55}{space 4} .1915938{col 68}{space 3} .4854484
{txt}{space 8}gdp_g {c |}{col 15}{res}{space 2}  .025142{col 27}{space 2} .0112835{col 38}{space 1}    2.23{col 47}{space 3}0.026{col 55}{space 4} .0029757{col 68}{space 3} .0473083
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .4485768{col 27}{space 2} .0887594{col 38}{space 1}    5.05{col 47}{space 3}0.000{col 55}{space 4} .2742103{col 68}{space 3} .6229434
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2}-.7265452{col 27}{space 2}  .359933{col 38}{space 1}   -2.02{col 47}{space 3}0.044{col 55}{space 4}-1.433628{col 68}{space 3}-.0194626
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.1280425{col 27}{space 2}  .061102{col 38}{space 1}   -2.10{col 47}{space 3}0.037{col 55}{space 4}-.2480765{col 68}{space 3}-.0080086
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2} .0091505{col 27}{space 2} .1356634{col 38}{space 1}    0.07{col 47}{space 3}0.946{col 55}{space 4}-.2573581{col 68}{space 3} .2756591
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0161362{col 27}{space 2} .0065019{col 38}{space 1}    2.48{col 47}{space 3}0.013{col 55}{space 4} .0033633{col 68}{space 3} .0289091
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-4.041578{col 27}{space 2} .8963001{col 38}{space 1}   -4.51{col 47}{space 3}0.000{col 55}{space 4}-5.802345{col 68}{space 3} -2.28081
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg ln_fatal_f3 declaredsoe soe_emp empowerscore3 $X  if year>=2001 , robust

{txt}Linear regression                               Number of obs     = {res}       538
                                                {txt}F(11, 526)        =  {res}     5.52
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2237
                                                {txt}Root MSE          =    {res} .81611

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  ln_fatal_f3{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}declaredsoe {c |}{col 15}{res}{space 2} .0349658{col 27}{space 2} .0743131{col 38}{space 1}    0.47{col 47}{space 3}0.638{col 55}{space 4}-.1110211{col 68}{space 3} .1809526
{txt}{space 6}soe_emp {c |}{col 15}{res}{space 2} .3558226{col 27}{space 2} .1167875{col 38}{space 1}    3.05{col 47}{space 3}0.002{col 55}{space 4} .1263955{col 68}{space 3} .5852497
{txt}empowerscore3 {c |}{col 15}{res}{space 2} .1120227{col 27}{space 2} .0289831{col 38}{space 1}    3.87{col 47}{space 3}0.000{col 55}{space 4} .0550859{col 68}{space 3} .1689595
{txt}{space 7}ln_pop {c |}{col 15}{res}{space 2} .0497347{col 27}{space 2}  .025822{col 38}{space 1}    1.93{col 47}{space 3}0.055{col 55}{space 4}-.0009921{col 68}{space 3} .1004616
{txt}{space 5}ln_gdppc {c |}{col 15}{res}{space 2} .2611162{col 27}{space 2} .0624821{col 38}{space 1}    4.18{col 47}{space 3}0.000{col 55}{space 4}  .138371{col 68}{space 3} .3838613
{txt}{space 8}gdp_g {c |}{col 15}{res}{space 2} .0112241{col 27}{space 2} .0099789{col 38}{space 1}    1.12{col 47}{space 3}0.261{col 55}{space 4}-.0083793{col 68}{space 3} .0308276
{txt}{space 6}civ_lib {c |}{col 15}{res}{space 2} .2941779{col 27}{space 2} .0889381{col 38}{space 1}    3.31{col 47}{space 3}0.001{col 55}{space 4} .1194604{col 68}{space 3} .4688954
{txt}{space 4}polconiii {c |}{col 15}{res}{space 2} .4566398{col 27}{space 2} .2386153{col 38}{space 1}    1.91{col 47}{space 3}0.056{col 55}{space 4}-.0121161{col 68}{space 3} .9253958
{txt}{space 6}polity2 {c |}{col 15}{res}{space 2}-.0297276{col 27}{space 2} .0568916{col 38}{space 1}   -0.52{col 47}{space 3}0.602{col 55}{space 4}-.1414902{col 68}{space 3}  .082035
{txt}{space 7}lagmid {c |}{col 15}{res}{space 2}-.0034947{col 27}{space 2} .1286373{col 38}{space 1}   -0.03{col 47}{space 3}0.978{col 55}{space 4}-.2562006{col 68}{space 3} .2492113
{txt}{space 6}lagterr {c |}{col 15}{res}{space 2} .0052034{col 27}{space 2} .0037066{col 38}{space 1}    1.40{col 47}{space 3}0.161{col 55}{space 4}-.0020781{col 68}{space 3}  .012485
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.813309{col 27}{space 2} .8417077{col 38}{space 1}   -4.53{col 47}{space 3}0.000{col 55}{space 4} -5.46683{col 68}{space 3}-2.159787
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. estout using "Model_post911.tex", ///
>                 cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) stats(N, fmt(%9.0f) labels("N")) ///
>                 eqlabels(none) collabels(none) style(tex) starlevels(* .10 ** .05 *** .01) label ///
>                 mgroups("Political Ideology Attacks" "Separatist Attacks" "Political Ideology Fatalities" "Separatist Fatalities", pattern(1 1 1 1) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) ///
>                 keep(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 order(empowerscore3 soe_emp declaredsoe $X  _cons) ///
>                 varlabels(_cons "Constant", elist(_cons "\addlinespace \hline Region Fixed Effects & Yes & Yes & Yes & Yes \\")) ///
>                 mlabels("(1)" "(2)" "(3)" "(4)") ///
>                 prehead("\resizebox{c -(}\textwidth{c )-}{c -(}!{c )-}{c -(}" "\begin{c -(}tabular{c )-}{c -(}{c -(}l{c )-}*{c -(}@M{c )-}{c -(}c{c )-}{c )-}" "\hline") ///
>                 posthead(\hline) prefoot(\hline) ///
>                 postfoot("\hline" "\end{c -(}tabular{c )-}" "{c )-}") replace  
{res}{txt}(output written to {browse  `"Model_post911.tex"'})

{com}. eststo clear
{txt}
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/brooney/Documents/Pubs/Terror Paper/ISQ/R and R/Final/Log File.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}17 Jul 2020, 14:57:35
{txt}{.-}
{smcl}
{txt}{sf}{ul off}